hexstrike-ai/hexstrike_mcp.py

#!/usr/bin/env python3

# HexStrike AI MCP Client - Enhanced version with new features

import sys
import os
import argparse
import logging
from typing import Dict, Any, Optional
import requests
import time

from mcp.server.fastmcp import FastMCP

class Colors:
    RED = '\033[91m'
    GREEN = '\033[92m'
    YELLOW = '\033[93m'
    BLUE = '\033[94m'
    MAGENTA = '\033[95m'
    CYAN = '\033[96m'
    WHITE = '\033[97m'
    BOLD = '\033[1m'
    RESET = '\033[0m'

class ColoredFormatter(logging.Formatter):
    """Custom formatter with colors and emojis for MCP client"""
    
    COLORS = {
        'DEBUG': Colors.CYAN,
        'INFO': Colors.GREEN,
        'WARNING': Colors.YELLOW,
        'ERROR': Colors.RED,
        'CRITICAL': Colors.MAGENTA + Colors.BOLD
    }
    
    EMOJIS = {
        'DEBUG': '🔍',
        'INFO': '✅',
        'WARNING': '⚠️',
        'ERROR': '❌',
        'CRITICAL': '🔥'
    }
    
    def format(self, record):
        emoji = self.EMOJIS.get(record.levelname, '📝')
        color = self.COLORS.get(record.levelname, Colors.WHITE)
        
        # Add color and emoji to the message
        record.msg = f"{color}{emoji} {record.msg}{Colors.RESET}"
        return super().format(record)

# Setup logging
logging.basicConfig(
    level=logging.INFO,
    format="[🔥 HexStrike MCP] %(asctime)s [%(levelname)s] %(message)s",
    handlers=[
        logging.StreamHandler(sys.stdout)
    ]
)

# Apply colored formatter
for handler in logging.getLogger().handlers:
    handler.setFormatter(ColoredFormatter(
        "[🔥 HexStrike MCP] %(asctime)s [%(levelname)s] %(message)s",
        datefmt="%Y-%m-%d %H:%M:%S"
    ))

logger = logging.getLogger(__name__)

# Default configuration
DEFAULT_HEXSTRIKE_SERVER = "http://192.168.1.18:5000"  # Update to your HexStrike server IP
DEFAULT_REQUEST_TIMEOUT = 300  # 5 minutes default timeout for API requests
MAX_RETRIES = 3  # Maximum number of retries for connection attempts

class HexStrikeClient:
    """Enhanced client for communicating with the HexStrike AI API Server"""
    
    def __init__(self, server_url: str, timeout: int = DEFAULT_REQUEST_TIMEOUT):
        """
        Initialize the HexStrike AI Client
        
        Args:
            server_url: URL of the HexStrike AI API Server
            timeout: Request timeout in seconds
        """
        self.server_url = server_url.rstrip("/")
        self.timeout = timeout
        self.session = requests.Session()
        
        # Try to connect to server with retries
        connected = False
        for i in range(MAX_RETRIES):
            try:
                logger.info(f"🔗 Attempting to connect to HexStrike AI API at {server_url} (attempt {i+1}/{MAX_RETRIES})")
                # First try a direct connection test before using the health endpoint
                try:
                    test_response = self.session.get(f"{self.server_url}/health", timeout=5)
                    test_response.raise_for_status()
                    health_check = test_response.json()
                    connected = True
                    logger.info(f"🎯 Successfully connected to HexStrike AI API Server at {server_url}")
                    logger.info(f"🏥 Server health status: {health_check.get('status', 'unknown')}")
                    logger.info(f"📊 Server version: {health_check.get('version', 'unknown')}")
                    break
                except requests.exceptions.ConnectionError:
                    logger.warning(f"🔌 Connection refused to {server_url}. Make sure the HexStrike AI server is running.")
                    time.sleep(2)  # Wait before retrying
                except Exception as e:
                    logger.warning(f"⚠️  Connection test failed: {str(e)}")
                    time.sleep(2)  # Wait before retrying
            except Exception as e:
                logger.warning(f"❌ Connection attempt {i+1} failed: {str(e)}")
                time.sleep(2)  # Wait before retrying
        
        if not connected:
            error_msg = f"Failed to establish connection to HexStrike AI API Server at {server_url} after {MAX_RETRIES} attempts"
            logger.error(error_msg)
            # We'll continue anyway to allow the MCP server to start, but tools will likely fail
        
    def safe_get(self, endpoint: str, params: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
        """
        Perform a GET request with optional query parameters.
        
        Args:
            endpoint: API endpoint path (without leading slash)
            params: Optional query parameters
            
        Returns:
            Response data as dictionary
        """
        if params is None:
            params = {}

        url = f"{self.server_url}/{endpoint}"

        try:
            logger.debug(f"📡 GET {url} with params: {params}")
            response = self.session.get(url, params=params, timeout=self.timeout)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            logger.error(f"🚫 Request failed: {str(e)}")
            return {"error": f"Request failed: {str(e)}", "success": False}
        except Exception as e:
            logger.error(f"💥 Unexpected error: {str(e)}")
            return {"error": f"Unexpected error: {str(e)}", "success": False}

    def safe_post(self, endpoint: str, json_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        Perform a POST request with JSON data.
        
        Args:
            endpoint: API endpoint path (without leading slash)
            json_data: JSON data to send
            
        Returns:
            Response data as dictionary
        """
        url = f"{self.server_url}/{endpoint}"
        
        try:
            logger.debug(f"📡 POST {url} with data: {json_data}")
            response = self.session.post(url, json=json_data, timeout=self.timeout)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            logger.error(f"🚫 Request failed: {str(e)}")
            return {"error": f"Request failed: {str(e)}", "success": False}
        except Exception as e:
            logger.error(f"💥 Unexpected error: {str(e)}")
            return {"error": f"Unexpected error: {str(e)}", "success": False}

    def execute_command(self, command: str, use_cache: bool = True) -> Dict[str, Any]:
        """
        Execute a generic command on the HexStrike server
        
        Args:
            command: Command to execute
            use_cache: Whether to use caching for this command
            
        Returns:
            Command execution results
        """
        return self.safe_post("api/command", {"command": command, "use_cache": use_cache})
    
    def check_health(self) -> Dict[str, Any]:
        """
        Check the health of the HexStrike AI API Server
        
        Returns:
            Health status information
        """
        return self.safe_get("health")

def setup_mcp_server(hexstrike_client: HexStrikeClient) -> FastMCP:
    """
    Set up the MCP server with all enhanced tool functions
    
    Args:
        hexstrike_client: Initialized HexStrikeClient
        
    Returns:
        Configured FastMCP instance
    """
    mcp = FastMCP("hexstrike-ai-mcp")
    
    # ============================================================================
    # CORE NETWORK SCANNING TOOLS
    # ============================================================================
    
    @mcp.tool()
    def nmap_scan(target: str, scan_type: str = "-sV", ports: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute an enhanced Nmap scan against a target with real-time logging.
        
        Args:
            target: The IP address or hostname to scan
            scan_type: Scan type (e.g., -sV for version detection, -sC for scripts)
            ports: Comma-separated list of ports or port ranges
            additional_args: Additional Nmap arguments
            
        Returns:
            Scan results with enhanced telemetry
        """
        data = {
            "target": target,
            "scan_type": scan_type,
            "ports": ports,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Initiating Nmap scan: {target}")
        result = hexstrike_client.safe_post("api/tools/nmap", data)
        if result.get("success"):
            logger.info(f"✅ Nmap scan completed successfully for {target}")
        else:
            logger.error(f"❌ Nmap scan failed for {target}")
        return result

    @mcp.tool()
    def gobuster_scan(url: str, mode: str = "dir", wordlist: str = "/usr/share/wordlists/dirb/common.txt", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Gobuster to find directories, DNS subdomains, or virtual hosts with enhanced logging.
        
        Args:
            url: The target URL
            mode: Scan mode (dir, dns, fuzz, vhost)
            wordlist: Path to wordlist file
            additional_args: Additional Gobuster arguments
            
        Returns:
            Scan results with enhanced telemetry
        """
        data = {
            "url": url,
            "mode": mode,
            "wordlist": wordlist,
            "additional_args": additional_args
        }
        logger.info(f"📁 Starting Gobuster {mode} scan: {url}")
        result = hexstrike_client.safe_post("api/tools/gobuster", data)
        if result.get("success"):
            logger.info(f"✅ Gobuster scan completed for {url}")
        else:
            logger.error(f"❌ Gobuster scan failed for {url}")
        return result

    @mcp.tool()
    def nuclei_scan(target: str, severity: str = "", tags: str = "", template: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Nuclei vulnerability scanner with enhanced logging and real-time progress.
        
        Args:
            target: The target URL or IP
            severity: Filter by severity (critical,high,medium,low,info)
            tags: Filter by tags (e.g. cve,rce,lfi)
            template: Custom template path
            additional_args: Additional Nuclei arguments
            
        Returns:
            Scan results with discovered vulnerabilities and telemetry
        """
        data = {
            "target": target,
            "severity": severity,
            "tags": tags,
            "template": template,
            "additional_args": additional_args
        }
        logger.info(f"🔬 Starting Nuclei vulnerability scan: {target}")
        result = hexstrike_client.safe_post("api/tools/nuclei", data)
        if result.get("success"):
            logger.info(f"✅ Nuclei scan completed for {target}")
        else:
            logger.error(f"❌ Nuclei scan failed for {target}")
        return result

    # ============================================================================
    # CLOUD SECURITY TOOLS
    # ============================================================================
    
    @mcp.tool()
    def prowler_scan(provider: str = "aws", profile: str = "default", region: str = "", checks: str = "", output_dir: str = "/tmp/prowler_output", output_format: str = "json", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Prowler for comprehensive cloud security assessment.
        
        Args:
            provider: Cloud provider (aws, azure, gcp)
            profile: AWS profile to use
            region: Specific region to scan
            checks: Specific checks to run
            output_dir: Directory to save results
            output_format: Output format (json, csv, html)
            additional_args: Additional Prowler arguments
            
        Returns:
            Cloud security assessment results
        """
        data = {
            "provider": provider,
            "profile": profile,
            "region": region,
            "checks": checks,
            "output_dir": output_dir,
            "output_format": output_format,
            "additional_args": additional_args
        }
        logger.info(f"☁️  Starting Prowler {provider} security assessment")
        result = hexstrike_client.safe_post("api/tools/prowler", data)
        if result.get("success"):
            logger.info(f"✅ Prowler assessment completed")
        else:
            logger.error(f"❌ Prowler assessment failed")
        return result

    @mcp.tool()
    def trivy_scan(scan_type: str = "image", target: str = "", output_format: str = "json", severity: str = "", output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Trivy for container and filesystem vulnerability scanning.
        
        Args:
            scan_type: Type of scan (image, fs, repo, config)
            target: Target to scan (image name, directory, repository)
            output_format: Output format (json, table, sarif)
            severity: Severity filter (UNKNOWN,LOW,MEDIUM,HIGH,CRITICAL)
            output_file: File to save results
            additional_args: Additional Trivy arguments
            
        Returns:
            Vulnerability scan results
        """
        data = {
            "scan_type": scan_type,
            "target": target,
            "output_format": output_format,
            "severity": severity,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Trivy {scan_type} scan: {target}")
        result = hexstrike_client.safe_post("api/tools/trivy", data)
        if result.get("success"):
            logger.info(f"✅ Trivy scan completed for {target}")
        else:
            logger.error(f"❌ Trivy scan failed for {target}")
        return result

    # ============================================================================
    # FILE OPERATIONS & PAYLOAD GENERATION
    # ============================================================================
    
    @mcp.tool()
    def create_file(filename: str, content: str, binary: bool = False) -> Dict[str, Any]:
        """
        Create a file with specified content on the HexStrike server.
        
        Args:
            filename: Name of the file to create
            content: Content to write to the file
            binary: Whether the content is binary data
            
        Returns:
            File creation results
        """
        data = {
            "filename": filename,
            "content": content,
            "binary": binary
        }
        logger.info(f"📄 Creating file: {filename}")
        result = hexstrike_client.safe_post("api/files/create", data)
        if result.get("success"):
            logger.info(f"✅ File created successfully: {filename}")
        else:
            logger.error(f"❌ Failed to create file: {filename}")
        return result

    @mcp.tool()
    def modify_file(filename: str, content: str, append: bool = False) -> Dict[str, Any]:
        """
        Modify an existing file on the HexStrike server.
        
        Args:
            filename: Name of the file to modify
            content: Content to write or append
            append: Whether to append to the file (True) or overwrite (False)
            
        Returns:
            File modification results
        """
        data = {
            "filename": filename,
            "content": content,
            "append": append
        }
        logger.info(f"✏️  Modifying file: {filename}")
        result = hexstrike_client.safe_post("api/files/modify", data)
        if result.get("success"):
            logger.info(f"✅ File modified successfully: {filename}")
        else:
            logger.error(f"❌ Failed to modify file: {filename}")
        return result

    @mcp.tool()
    def delete_file(filename: str) -> Dict[str, Any]:
        """
        Delete a file or directory on the HexStrike server.
        
        Args:
            filename: Name of the file or directory to delete
            
        Returns:
            File deletion results
        """
        data = {
            "filename": filename
        }
        logger.info(f"🗑️  Deleting file: {filename}")
        result = hexstrike_client.safe_post("api/files/delete", data)
        if result.get("success"):
            logger.info(f"✅ File deleted successfully: {filename}")
        else:
            logger.error(f"❌ Failed to delete file: {filename}")
        return result

    @mcp.tool()
    def list_files(directory: str = ".") -> Dict[str, Any]:
        """
        List files in a directory on the HexStrike server.
        
        Args:
            directory: Directory to list (relative to server's base directory)
            
        Returns:
            Directory listing results
        """
        logger.info(f"📂 Listing files in directory: {directory}")
        result = hexstrike_client.safe_get("api/files/list", {"directory": directory})
        if result.get("success"):
            file_count = len(result.get("files", []))
            logger.info(f"✅ Listed {file_count} files in {directory}")
        else:
            logger.error(f"❌ Failed to list files in {directory}")
        return result

    @mcp.tool()
    def generate_payload(payload_type: str = "buffer", size: int = 1024, pattern: str = "A", filename: str = "") -> Dict[str, Any]:
        """
        Generate large payloads for testing and exploitation.
        
        Args:
            payload_type: Type of payload (buffer, cyclic, random)
            size: Size of the payload in bytes
            pattern: Pattern to use for buffer payloads
            filename: Custom filename (auto-generated if empty)
            
        Returns:
            Payload generation results
        """
        data = {
            "type": payload_type,
            "size": size,
            "pattern": pattern
        }
        if filename:
            data["filename"] = filename
            
        logger.info(f"🎯 Generating {payload_type} payload: {size} bytes")
        result = hexstrike_client.safe_post("api/payloads/generate", data)
        if result.get("success"):
            logger.info(f"✅ Payload generated successfully")
        else:
            logger.error(f"❌ Failed to generate payload")
        return result

    # ============================================================================
    # PYTHON ENVIRONMENT MANAGEMENT
    # ============================================================================
    
    @mcp.tool()
    def install_python_package(package: str, env_name: str = "default") -> Dict[str, Any]:
        """
        Install a Python package in a virtual environment on the HexStrike server.
        
        Args:
            package: Name of the Python package to install
            env_name: Name of the virtual environment
            
        Returns:
            Package installation results
        """
        data = {
            "package": package,
            "env_name": env_name
        }
        logger.info(f"📦 Installing Python package: {package} in env {env_name}")
        result = hexstrike_client.safe_post("api/python/install", data)
        if result.get("success"):
            logger.info(f"✅ Package {package} installed successfully")
        else:
            logger.error(f"❌ Failed to install package {package}")
        return result

    @mcp.tool()
    def execute_python_script(script: str, env_name: str = "default", filename: str = "") -> Dict[str, Any]:
        """
        Execute a Python script in a virtual environment on the HexStrike server.
        
        Args:
            script: Python script content to execute
            env_name: Name of the virtual environment
            filename: Custom script filename (auto-generated if empty)
            
        Returns:
            Script execution results
        """
        data = {
            "script": script,
            "env_name": env_name
        }
        if filename:
            data["filename"] = filename
            
        logger.info(f"🐍 Executing Python script in env {env_name}")
        result = hexstrike_client.safe_post("api/python/execute", data)
        if result.get("success"):
            logger.info(f"✅ Python script executed successfully")
        else:
            logger.error(f"❌ Python script execution failed")
        return result

    # ============================================================================
    # ADDITIONAL SECURITY TOOLS FROM ORIGINAL IMPLEMENTATION
    # ============================================================================

    @mcp.tool()
    def dirb_scan(url: str, wordlist: str = "/usr/share/wordlists/dirb/common.txt", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Dirb for directory brute forcing with enhanced logging.
        
        Args:
            url: The target URL
            wordlist: Path to wordlist file
            additional_args: Additional Dirb arguments
            
        Returns:
            Scan results with enhanced telemetry
        """
        data = {
            "url": url,
            "wordlist": wordlist,
            "additional_args": additional_args
        }
        logger.info(f"📁 Starting Dirb scan: {url}")
        result = hexstrike_client.safe_post("api/tools/dirb", data)
        if result.get("success"):
            logger.info(f"✅ Dirb scan completed for {url}")
        else:
            logger.error(f"❌ Dirb scan failed for {url}")
        return result

    @mcp.tool()
    def nikto_scan(target: str, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Nikto web vulnerability scanner with enhanced logging.
        
        Args:
            target: The target URL or IP
            additional_args: Additional Nikto arguments
            
        Returns:
            Scan results with discovered vulnerabilities
        """
        data = {
            "target": target,
            "additional_args": additional_args
        }
        logger.info(f"🔬 Starting Nikto scan: {target}")
        result = hexstrike_client.safe_post("api/tools/nikto", data)
        if result.get("success"):
            logger.info(f"✅ Nikto scan completed for {target}")
        else:
            logger.error(f"❌ Nikto scan failed for {target}")
        return result

    @mcp.tool()
    def sqlmap_scan(url: str, data: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute SQLMap for SQL injection testing with enhanced logging.
        
        Args:
            url: The target URL
            data: POST data for testing
            additional_args: Additional SQLMap arguments
            
        Returns:
            SQL injection test results
        """
        data_payload = {
            "url": url,
            "data": data,
            "additional_args": additional_args
        }
        logger.info(f"💉 Starting SQLMap scan: {url}")
        result = hexstrike_client.safe_post("api/tools/sqlmap", data_payload)
        if result.get("success"):
            logger.info(f"✅ SQLMap scan completed for {url}")
        else:
            logger.error(f"❌ SQLMap scan failed for {url}")
        return result

    @mcp.tool()
    def metasploit_run(module: str, options: Dict[str, Any] = {}) -> Dict[str, Any]:
        """
        Execute a Metasploit module with enhanced logging.
        
        Args:
            module: The Metasploit module to use
            options: Dictionary of module options
            
        Returns:
            Metasploit execution results
        """
        data = {
            "module": module,
            "options": options
        }
        logger.info(f"🚀 Starting Metasploit module: {module}")
        result = hexstrike_client.safe_post("api/tools/metasploit", data)
        if result.get("success"):
            logger.info(f"✅ Metasploit module completed: {module}")
        else:
            logger.error(f"❌ Metasploit module failed: {module}")
        return result

    @mcp.tool()
    def hydra_attack(
        target: str,
        service: str,
        username: str = "",
        username_file: str = "",
        password: str = "",
        password_file: str = "",
        additional_args: str = ""
    ) -> Dict[str, Any]:
        """
        Execute Hydra for password brute forcing with enhanced logging.
        
        Args:
            target: The target IP or hostname
            service: The service to attack (ssh, ftp, http, etc.)
            username: Single username to test
            username_file: File containing usernames
            password: Single password to test
            password_file: File containing passwords
            additional_args: Additional Hydra arguments
            
        Returns:
            Brute force attack results
        """
        data = {
            "target": target,
            "service": service,
            "username": username,
            "username_file": username_file,
            "password": password,
            "password_file": password_file,
            "additional_args": additional_args
        }
        logger.info(f"🔑 Starting Hydra attack: {target}:{service}")
        result = hexstrike_client.safe_post("api/tools/hydra", data)
        if result.get("success"):
            logger.info(f"✅ Hydra attack completed for {target}")
        else:
            logger.error(f"❌ Hydra attack failed for {target}")
        return result

    @mcp.tool()
    def john_crack(
        hash_file: str,
        wordlist: str = "/usr/share/wordlists/rockyou.txt",
        format_type: str = "",
        additional_args: str = ""
    ) -> Dict[str, Any]:
        """
        Execute John the Ripper for password cracking with enhanced logging.
        
        Args:
            hash_file: File containing password hashes
            wordlist: Wordlist file to use
            format_type: Hash format type
            additional_args: Additional John arguments
            
        Returns:
            Password cracking results
        """
        data = {
            "hash_file": hash_file,
            "wordlist": wordlist,
            "format": format_type,
            "additional_args": additional_args
        }
        logger.info(f"🔐 Starting John the Ripper: {hash_file}")
        result = hexstrike_client.safe_post("api/tools/john", data)
        if result.get("success"):
            logger.info(f"✅ John the Ripper completed")
        else:
            logger.error(f"❌ John the Ripper failed")
        return result

    @mcp.tool()
    def wpscan_analyze(url: str, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute WPScan for WordPress vulnerability scanning with enhanced logging.
        
        Args:
            url: The WordPress site URL
            additional_args: Additional WPScan arguments
            
        Returns:
            WordPress vulnerability scan results
        """
        data = {
            "url": url,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting WPScan: {url}")
        result = hexstrike_client.safe_post("api/tools/wpscan", data)
        if result.get("success"):
            logger.info(f"✅ WPScan completed for {url}")
        else:
            logger.error(f"❌ WPScan failed for {url}")
        return result

    @mcp.tool()
    def enum4linux_scan(target: str, additional_args: str = "-a") -> Dict[str, Any]:
        """
        Execute Enum4linux for SMB enumeration with enhanced logging.
        
        Args:
            target: The target IP address
            additional_args: Additional Enum4linux arguments
            
        Returns:
            SMB enumeration results
        """
        data = {
            "target": target,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Enum4linux: {target}")
        result = hexstrike_client.safe_post("api/tools/enum4linux", data)
        if result.get("success"):
            logger.info(f"✅ Enum4linux completed for {target}")
        else:
            logger.error(f"❌ Enum4linux failed for {target}")
        return result

    @mcp.tool()
    def ffuf_scan(url: str, wordlist: str = "/usr/share/wordlists/dirb/common.txt", mode: str = "directory", match_codes: str = "200,204,301,302,307,401,403", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute FFuf for web fuzzing with enhanced logging.
        
        Args:
            url: The target URL
            wordlist: Wordlist file to use
            mode: Fuzzing mode (directory, vhost, parameter)
            match_codes: HTTP status codes to match
            additional_args: Additional FFuf arguments
            
        Returns:
            Web fuzzing results
        """
        data = {
            "url": url,
            "wordlist": wordlist,
            "mode": mode,
            "match_codes": match_codes,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting FFuf {mode} fuzzing: {url}")
        result = hexstrike_client.safe_post("api/tools/ffuf", data)
        if result.get("success"):
            logger.info(f"✅ FFuf fuzzing completed for {url}")
        else:
            logger.error(f"❌ FFuf fuzzing failed for {url}")
        return result

    @mcp.tool()
    def netexec_scan(target: str, protocol: str = "smb", username: str = "", password: str = "", hash_value: str = "", module: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute NetExec (formerly CrackMapExec) for network enumeration with enhanced logging.
        
        Args:
            target: The target IP or network
            protocol: Protocol to use (smb, ssh, winrm, etc.)
            username: Username for authentication
            password: Password for authentication
            hash_value: Hash for pass-the-hash attacks
            module: NetExec module to execute
            additional_args: Additional NetExec arguments
            
        Returns:
            Network enumeration results
        """
        data = {
            "target": target,
            "protocol": protocol,
            "username": username,
            "password": password,
            "hash": hash_value,
            "module": module,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting NetExec {protocol} scan: {target}")
        result = hexstrike_client.safe_post("api/tools/netexec", data)
        if result.get("success"):
            logger.info(f"✅ NetExec scan completed for {target}")
        else:
            logger.error(f"❌ NetExec scan failed for {target}")
        return result

    @mcp.tool()
    def amass_scan(domain: str, mode: str = "enum", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Amass for subdomain enumeration with enhanced logging.
        
        Args:
            domain: The target domain
            mode: Amass mode (enum, intel, viz)
            additional_args: Additional Amass arguments
            
        Returns:
            Subdomain enumeration results
        """
        data = {
            "domain": domain,
            "mode": mode,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Amass {mode}: {domain}")
        result = hexstrike_client.safe_post("api/tools/amass", data)
        if result.get("success"):
            logger.info(f"✅ Amass completed for {domain}")
        else:
            logger.error(f"❌ Amass failed for {domain}")
        return result

    @mcp.tool()
    def hashcat_crack(hash_file: str, hash_type: str, attack_mode: str = "0", wordlist: str = "/usr/share/wordlists/rockyou.txt", mask: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Hashcat for advanced password cracking with enhanced logging.
        
        Args:
            hash_file: File containing password hashes
            hash_type: Hash type number for Hashcat
            attack_mode: Attack mode (0=dict, 1=combo, 3=mask, etc.)
            wordlist: Wordlist file for dictionary attacks
            mask: Mask for mask attacks
            additional_args: Additional Hashcat arguments
            
        Returns:
            Password cracking results
        """
        data = {
            "hash_file": hash_file,
            "hash_type": hash_type,
            "attack_mode": attack_mode,
            "wordlist": wordlist,
            "mask": mask,
            "additional_args": additional_args
        }
        logger.info(f"🔐 Starting Hashcat attack: mode {attack_mode}")
        result = hexstrike_client.safe_post("api/tools/hashcat", data)
        if result.get("success"):
            logger.info(f"✅ Hashcat attack completed")
        else:
            logger.error(f"❌ Hashcat attack failed")
        return result

    @mcp.tool()
    def subfinder_scan(domain: str, silent: bool = True, all_sources: bool = False, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Subfinder for passive subdomain enumeration with enhanced logging.
        
        Args:
            domain: The target domain
            silent: Run in silent mode
            all_sources: Use all sources
            additional_args: Additional Subfinder arguments
            
        Returns:
            Passive subdomain enumeration results
        """
        data = {
            "domain": domain,
            "silent": silent,
            "all_sources": all_sources,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Subfinder: {domain}")
        result = hexstrike_client.safe_post("api/tools/subfinder", data)
        if result.get("success"):
            logger.info(f"✅ Subfinder completed for {domain}")
        else:
            logger.error(f"❌ Subfinder failed for {domain}")
        return result

    @mcp.tool()
    def smbmap_scan(target: str, username: str = "", password: str = "", domain: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute SMBMap for SMB share enumeration with enhanced logging.
        
        Args:
            target: The target IP address
            username: Username for authentication
            password: Password for authentication
            domain: Domain for authentication
            additional_args: Additional SMBMap arguments
            
        Returns:
            SMB share enumeration results
        """
        data = {
            "target": target,
            "username": username,
            "password": password,
            "domain": domain,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting SMBMap: {target}")
        result = hexstrike_client.safe_post("api/tools/smbmap", data)
        if result.get("success"):
            logger.info(f"✅ SMBMap completed for {target}")
        else:
            logger.error(f"❌ SMBMap failed for {target}")
        return result

    @mcp.tool()
    def volatility_analyze(memory_file: str, plugin: str, profile: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Volatility for memory forensics analysis with enhanced logging.
        
        Args:
            memory_file: Path to memory dump file
            plugin: Volatility plugin to use
            profile: Memory profile to use
            additional_args: Additional Volatility arguments
            
        Returns:
            Memory forensics analysis results
        """
        data = {
            "memory_file": memory_file,
            "plugin": plugin,
            "profile": profile,
            "additional_args": additional_args
        }
        logger.info(f"🧠 Starting Volatility analysis: {plugin}")
        result = hexstrike_client.safe_post("api/tools/volatility", data)
        if result.get("success"):
            logger.info(f"✅ Volatility analysis completed")
        else:
            logger.error(f"❌ Volatility analysis failed")
        return result

    @mcp.tool()
    def msfvenom_generate(payload: str, format_type: str = "", output_file: str = "", encoder: str = "", iterations: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute MSFVenom for payload generation with enhanced logging.
        
        Args:
            payload: The payload to generate
            format_type: Output format (exe, elf, raw, etc.)
            output_file: Output file path
            encoder: Encoder to use
            iterations: Number of encoding iterations
            additional_args: Additional MSFVenom arguments
            
        Returns:
            Payload generation results
        """
        data = {
            "payload": payload,
            "format": format_type,
            "output_file": output_file,
            "encoder": encoder,
            "iterations": iterations,
            "additional_args": additional_args
        }
        logger.info(f"🚀 Starting MSFVenom payload generation: {payload}")
        result = hexstrike_client.safe_post("api/tools/msfvenom", data)
        if result.get("success"):
            logger.info(f"✅ MSFVenom payload generated")
        else:
            logger.error(f"❌ MSFVenom payload generation failed")
        return result

    # ============================================================================
    # BINARY ANALYSIS & REVERSE ENGINEERING TOOLS
    # ============================================================================

    @mcp.tool()
    def gdb_analyze(binary: str, commands: str = "", script_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute GDB for binary analysis and debugging with enhanced logging.
        
        Args:
            binary: Path to the binary file
            commands: GDB commands to execute
            script_file: Path to GDB script file
            additional_args: Additional GDB arguments
            
        Returns:
            Binary analysis results
        """
        data = {
            "binary": binary,
            "commands": commands,
            "script_file": script_file,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting GDB analysis: {binary}")
        result = hexstrike_client.safe_post("api/tools/gdb", data)
        if result.get("success"):
            logger.info(f"✅ GDB analysis completed for {binary}")
        else:
            logger.error(f"❌ GDB analysis failed for {binary}")
        return result

    @mcp.tool()
    def radare2_analyze(binary: str, commands: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Radare2 for binary analysis and reverse engineering with enhanced logging.
        
        Args:
            binary: Path to the binary file
            commands: Radare2 commands to execute
            additional_args: Additional Radare2 arguments
            
        Returns:
            Binary analysis results
        """
        data = {
            "binary": binary,
            "commands": commands,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting Radare2 analysis: {binary}")
        result = hexstrike_client.safe_post("api/tools/radare2", data)
        if result.get("success"):
            logger.info(f"✅ Radare2 analysis completed for {binary}")
        else:
            logger.error(f"❌ Radare2 analysis failed for {binary}")
        return result

    @mcp.tool()
    def binwalk_analyze(file_path: str, extract: bool = False, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Binwalk for firmware and file analysis with enhanced logging.
        
        Args:
            file_path: Path to the file to analyze
            extract: Whether to extract discovered files
            additional_args: Additional Binwalk arguments
            
        Returns:
            Firmware analysis results
        """
        data = {
            "file_path": file_path,
            "extract": extract,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting Binwalk analysis: {file_path}")
        result = hexstrike_client.safe_post("api/tools/binwalk", data)
        if result.get("success"):
            logger.info(f"✅ Binwalk analysis completed for {file_path}")
        else:
            logger.error(f"❌ Binwalk analysis failed for {file_path}")
        return result

    @mcp.tool()
    def ropgadget_search(binary: str, gadget_type: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Search for ROP gadgets in a binary using ROPgadget with enhanced logging.
        
        Args:
            binary: Path to the binary file
            gadget_type: Type of gadgets to search for
            additional_args: Additional ROPgadget arguments
            
        Returns:
            ROP gadget search results
        """
        data = {
            "binary": binary,
            "gadget_type": gadget_type,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting ROPgadget search: {binary}")
        result = hexstrike_client.safe_post("api/tools/ropgadget", data)
        if result.get("success"):
            logger.info(f"✅ ROPgadget search completed for {binary}")
        else:
            logger.error(f"❌ ROPgadget search failed for {binary}")
        return result

    @mcp.tool()
    def checksec_analyze(binary: str) -> Dict[str, Any]:
        """
        Check security features of a binary with enhanced logging.
        
        Args:
            binary: Path to the binary file
            
        Returns:
            Security features analysis results
        """
        data = {
            "binary": binary
        }
        logger.info(f"🔧 Starting Checksec analysis: {binary}")
        result = hexstrike_client.safe_post("api/tools/checksec", data)
        if result.get("success"):
            logger.info(f"✅ Checksec analysis completed for {binary}")
        else:
            logger.error(f"❌ Checksec analysis failed for {binary}")
        return result

    @mcp.tool()
    def xxd_hexdump(file_path: str, offset: str = "0", length: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Create a hex dump of a file using xxd with enhanced logging.
        
        Args:
            file_path: Path to the file
            offset: Offset to start reading from
            length: Number of bytes to read
            additional_args: Additional xxd arguments
            
        Returns:
            Hex dump results
        """
        data = {
            "file_path": file_path,
            "offset": offset,
            "length": length,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting XXD hex dump: {file_path}")
        result = hexstrike_client.safe_post("api/tools/xxd", data)
        if result.get("success"):
            logger.info(f"✅ XXD hex dump completed for {file_path}")
        else:
            logger.error(f"❌ XXD hex dump failed for {file_path}")
        return result

    @mcp.tool()
    def strings_extract(file_path: str, min_len: int = 4, additional_args: str = "") -> Dict[str, Any]:
        """
        Extract strings from a binary file with enhanced logging.
        
        Args:
            file_path: Path to the file
            min_len: Minimum string length
            additional_args: Additional strings arguments
            
        Returns:
            String extraction results
        """
        data = {
            "file_path": file_path,
            "min_len": min_len,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting Strings extraction: {file_path}")
        result = hexstrike_client.safe_post("api/tools/strings", data)
        if result.get("success"):
            logger.info(f"✅ Strings extraction completed for {file_path}")
        else:
            logger.error(f"❌ Strings extraction failed for {file_path}")
        return result

    @mcp.tool()
    def objdump_analyze(binary: str, disassemble: bool = True, additional_args: str = "") -> Dict[str, Any]:
        """
        Analyze a binary using objdump with enhanced logging.
        
        Args:
            binary: Path to the binary file
            disassemble: Whether to disassemble the binary
            additional_args: Additional objdump arguments
            
        Returns:
            Binary analysis results
        """
        data = {
            "binary": binary,
            "disassemble": disassemble,
            "additional_args": additional_args
        }
        logger.info(f"🔧 Starting Objdump analysis: {binary}")
        result = hexstrike_client.safe_post("api/tools/objdump", data)
        if result.get("success"):
            logger.info(f"✅ Objdump analysis completed for {binary}")
        else:
            logger.error(f"❌ Objdump analysis failed for {binary}")
        return result

    @mcp.tool()
    def feroxbuster_scan(url: str, wordlist: str = "/usr/share/wordlists/dirb/common.txt", threads: int = 10, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Feroxbuster for recursive content discovery with enhanced logging.
        
        Args:
            url: The target URL
            wordlist: Wordlist file to use
            threads: Number of threads
            additional_args: Additional Feroxbuster arguments
            
        Returns:
            Content discovery results
        """
        data = {
            "url": url,
            "wordlist": wordlist,
            "threads": threads,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Feroxbuster scan: {url}")
        result = hexstrike_client.safe_post("api/tools/feroxbuster", data)
        if result.get("success"):
            logger.info(f"✅ Feroxbuster scan completed for {url}")
        else:
            logger.error(f"❌ Feroxbuster scan failed for {url}")
        return result

    @mcp.tool()
    def dotdotpwn_scan(target: str, module: str = "http", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute DotDotPwn for directory traversal testing with enhanced logging.
        
        Args:
            target: The target hostname or IP
            module: Module to use (http, ftp, tftp, etc.)
            additional_args: Additional DotDotPwn arguments
            
        Returns:
            Directory traversal test results
        """
        data = {
            "target": target,
            "module": module,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting DotDotPwn scan: {target}")
        result = hexstrike_client.safe_post("api/tools/dotdotpwn", data)
        if result.get("success"):
            logger.info(f"✅ DotDotPwn scan completed for {target}")
        else:
            logger.error(f"❌ DotDotPwn scan failed for {target}")
        return result

    @mcp.tool()
    def xsser_scan(url: str, params: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute XSSer for XSS vulnerability testing with enhanced logging.
        
        Args:
            url: The target URL
            params: Parameters to test
            additional_args: Additional XSSer arguments
            
        Returns:
            XSS vulnerability test results
        """
        data = {
            "url": url,
            "params": params,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting XSSer scan: {url}")
        result = hexstrike_client.safe_post("api/tools/xsser", data)
        if result.get("success"):
            logger.info(f"✅ XSSer scan completed for {url}")
        else:
            logger.error(f"❌ XSSer scan failed for {url}")
        return result

    @mcp.tool()
    def wfuzz_scan(url: str, wordlist: str = "/usr/share/wordlists/dirb/common.txt", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Wfuzz for web application fuzzing with enhanced logging.
        
        Args:
            url: The target URL (use FUZZ where you want to inject payloads)
            wordlist: Wordlist file to use
            additional_args: Additional Wfuzz arguments
            
        Returns:
            Web application fuzzing results
        """
        data = {
            "url": url,
            "wordlist": wordlist,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Wfuzz scan: {url}")
        result = hexstrike_client.safe_post("api/tools/wfuzz", data)
        if result.get("success"):
            logger.info(f"✅ Wfuzz scan completed for {url}")
        else:
            logger.error(f"❌ Wfuzz scan failed for {url}")
        return result

    # ============================================================================
    # AI-POWERED PAYLOAD GENERATION (v5.0 ENHANCEMENT)
    # ============================================================================

    @mcp.tool()
    def ai_generate_payload(attack_type: str, complexity: str = "basic", technology: str = "", url: str = "") -> Dict[str, Any]:
        """
        Generate AI-powered contextual payloads for security testing.
        
        Args:
            attack_type: Type of attack (xss, sqli, lfi, cmd_injection, ssti, xxe)
            complexity: Complexity level (basic, advanced, bypass)
            technology: Target technology (php, asp, jsp, python, nodejs)
            url: Target URL for context
            
        Returns:
            Contextual payloads with risk assessment and test cases
        """
        data = {
            "attack_type": attack_type,
            "complexity": complexity,
            "technology": technology,
            "url": url
        }
        logger.info(f"🤖 Generating AI payloads for {attack_type} attack")
        result = hexstrike_client.safe_post("api/ai/generate_payload", data)
        
        if result.get("success"):
            payload_data = result.get("ai_payload_generation", {})
            count = payload_data.get("payload_count", 0)
            logger.info(f"✅ Generated {count} contextual {attack_type} payloads")
            
            # Log some example payloads for user awareness
            payloads = payload_data.get("payloads", [])
            if payloads:
                logger.info("🎯 Sample payloads generated:")
                for i, payload_info in enumerate(payloads[:3]):  # Show first 3
                    risk = payload_info.get("risk_level", "UNKNOWN")
                    context = payload_info.get("context", "basic")
                    logger.info(f"   ├─ [{risk}] {context}: {payload_info['payload'][:50]}...")
        else:
            logger.error("❌ AI payload generation failed")
        
        return result

    @mcp.tool()
    def ai_test_payload(payload: str, target_url: str, method: str = "GET") -> Dict[str, Any]:
        """
        Test generated payload against target with AI analysis.
        
        Args:
            payload: The payload to test
            target_url: Target URL to test against
            method: HTTP method (GET, POST)
            
        Returns:
            Test results with AI analysis and vulnerability assessment
        """
        data = {
            "payload": payload,
            "target_url": target_url,
            "method": method
        }
        logger.info(f"🧪 Testing AI payload against {target_url}")
        result = hexstrike_client.safe_post("api/ai/test_payload", data)
        
        if result.get("success"):
            analysis = result.get("ai_analysis", {})
            potential_vuln = analysis.get("potential_vulnerability", False)
            logger.info(f"🔍 Payload test completed | Vulnerability detected: {potential_vuln}")
            
            if potential_vuln:
                logger.warning("⚠️  Potential vulnerability found! Review the response carefully.")
            else:
                logger.info("✅ No obvious vulnerability indicators detected")
        else:
            logger.error("❌ Payload testing failed")
        
        return result

    @mcp.tool()
    def ai_generate_attack_suite(target_url: str, attack_types: str = "xss,sqli,lfi") -> Dict[str, Any]:
        """
        Generate comprehensive attack suite with multiple payload types.
        
        Args:
            target_url: Target URL for testing
            attack_types: Comma-separated list of attack types
            
        Returns:
            Comprehensive attack suite with multiple payload types
        """
        attack_list = [attack.strip() for attack in attack_types.split(",")]
        results = {
            "target_url": target_url,
            "attack_types": attack_list,
            "payload_suites": {},
            "summary": {
                "total_payloads": 0,
                "high_risk_payloads": 0,
                "test_cases": 0
            }
        }
        
        logger.info(f"🚀 Generating comprehensive attack suite for {target_url}")
        logger.info(f"🎯 Attack types: {', '.join(attack_list)}")
        
        for attack_type in attack_list:
            logger.info(f"🤖 Generating {attack_type} payloads...")
            
            # Generate payloads for this attack type
            payload_result = self.ai_generate_payload(attack_type, "advanced", "", target_url)
            
            if payload_result.get("success"):
                payload_data = payload_result.get("ai_payload_generation", {})
                results["payload_suites"][attack_type] = payload_data
                
                # Update summary
                results["summary"]["total_payloads"] += payload_data.get("payload_count", 0)
                results["summary"]["test_cases"] += len(payload_data.get("test_cases", []))
                
                # Count high-risk payloads
                for payload_info in payload_data.get("payloads", []):
                    if payload_info.get("risk_level") == "HIGH":
                        results["summary"]["high_risk_payloads"] += 1
        
        logger.info(f"✅ Attack suite generated:")
        logger.info(f"   ├─ Total payloads: {results['summary']['total_payloads']}")
        logger.info(f"   ├─ High-risk payloads: {results['summary']['high_risk_payloads']}")
        logger.info(f"   └─ Test cases: {results['summary']['test_cases']}")
        
        return {
            "success": True,
            "attack_suite": results,
            "timestamp": time.time()
        }

    # ============================================================================
    # ADVANCED API TESTING TOOLS (v5.0 ENHANCEMENT)
    # ============================================================================

    @mcp.tool()
    def api_fuzzer(base_url: str, endpoints: str = "", methods: str = "GET,POST,PUT,DELETE", wordlist: str = "/usr/share/wordlists/api/api-endpoints.txt") -> Dict[str, Any]:
        """
        Advanced API endpoint fuzzing with intelligent parameter discovery.
        
        Args:
            base_url: Base URL of the API
            endpoints: Comma-separated list of specific endpoints to test
            methods: HTTP methods to test (comma-separated)
            wordlist: Wordlist for endpoint discovery
            
        Returns:
            API fuzzing results with endpoint discovery and vulnerability assessment
        """
        data = {
            "base_url": base_url,
            "endpoints": [e.strip() for e in endpoints.split(",") if e.strip()] if endpoints else [],
            "methods": [m.strip() for m in methods.split(",")],
            "wordlist": wordlist
        }
        
        logger.info(f"🔍 Starting API fuzzing: {base_url}")
        result = hexstrike_client.safe_post("api/tools/api_fuzzer", data)
        
        if result.get("success"):
            fuzzing_type = result.get("fuzzing_type", "unknown")
            if fuzzing_type == "endpoint_testing":
                endpoint_count = len(result.get("results", []))
                logger.info(f"✅ API endpoint testing completed: {endpoint_count} endpoints tested")
            else:
                logger.info(f"✅ API endpoint discovery completed")
        else:
            logger.error("❌ API fuzzing failed")
        
        return result

    @mcp.tool()
    def graphql_scanner(endpoint: str, introspection: bool = True, query_depth: int = 10, test_mutations: bool = True) -> Dict[str, Any]:
        """
        Advanced GraphQL security scanning and introspection.
        
        Args:
            endpoint: GraphQL endpoint URL
            introspection: Test introspection queries
            query_depth: Maximum query depth to test
            test_mutations: Test mutation operations
            
        Returns:
            GraphQL security scan results with vulnerability assessment
        """
        data = {
            "endpoint": endpoint,
            "introspection": introspection,
            "query_depth": query_depth,
            "test_mutations": test_mutations
        }
        
        logger.info(f"🔍 Starting GraphQL security scan: {endpoint}")
        result = hexstrike_client.safe_post("api/tools/graphql_scanner", data)
        
        if result.get("success"):
            scan_results = result.get("graphql_scan_results", {})
            vuln_count = len(scan_results.get("vulnerabilities", []))
            tests_count = len(scan_results.get("tests_performed", []))
            
            logger.info(f"✅ GraphQL scan completed: {tests_count} tests, {vuln_count} vulnerabilities")
            
            if vuln_count > 0:
                logger.warning(f"⚠️  Found {vuln_count} GraphQL vulnerabilities!")
                for vuln in scan_results.get("vulnerabilities", [])[:3]:  # Show first 3
                    severity = vuln.get("severity", "UNKNOWN")
                    vuln_type = vuln.get("type", "unknown")
                    logger.warning(f"   ├─ [{severity}] {vuln_type}")
        else:
            logger.error("❌ GraphQL scanning failed")
        
        return result

    @mcp.tool()
    def jwt_analyzer(jwt_token: str, target_url: str = "") -> Dict[str, Any]:
        """
        Advanced JWT token analysis and vulnerability testing.
        
        Args:
            jwt_token: JWT token to analyze
            target_url: Optional target URL for testing token manipulation
            
        Returns:
            JWT analysis results with vulnerability assessment and attack vectors
        """
        data = {
            "jwt_token": jwt_token,
            "target_url": target_url
        }
        
        logger.info(f"🔍 Starting JWT security analysis")
        result = hexstrike_client.safe_post("api/tools/jwt_analyzer", data)
        
        if result.get("success"):
            analysis = result.get("jwt_analysis_results", {})
            vuln_count = len(analysis.get("vulnerabilities", []))
            algorithm = analysis.get("token_info", {}).get("algorithm", "unknown")
            
            logger.info(f"✅ JWT analysis completed: {vuln_count} vulnerabilities found")
            logger.info(f"🔐 Token algorithm: {algorithm}")
            
            if vuln_count > 0:
                logger.warning(f"⚠️  Found {vuln_count} JWT vulnerabilities!")
                for vuln in analysis.get("vulnerabilities", [])[:3]:  # Show first 3
                    severity = vuln.get("severity", "UNKNOWN")
                    vuln_type = vuln.get("type", "unknown")
                    logger.warning(f"   ├─ [{severity}] {vuln_type}")
        else:
            logger.error("❌ JWT analysis failed")
        
        return result

    @mcp.tool()
    def api_schema_analyzer(schema_url: str, schema_type: str = "openapi") -> Dict[str, Any]:
        """
        Analyze API schemas and identify potential security issues.
        
        Args:
            schema_url: URL to the API schema (OpenAPI/Swagger/GraphQL)
            schema_type: Type of schema (openapi, swagger, graphql)
            
        Returns:
            Schema analysis results with security issues and recommendations
        """
        data = {
            "schema_url": schema_url,
            "schema_type": schema_type
        }
        
        logger.info(f"🔍 Starting API schema analysis: {schema_url}")
        result = hexstrike_client.safe_post("api/tools/api_schema_analyzer", data)
        
        if result.get("success"):
            analysis = result.get("schema_analysis_results", {})
            endpoint_count = len(analysis.get("endpoints_found", []))
            issue_count = len(analysis.get("security_issues", []))
            
            logger.info(f"✅ Schema analysis completed: {endpoint_count} endpoints, {issue_count} issues")
            
            if issue_count > 0:
                logger.warning(f"⚠️  Found {issue_count} security issues in schema!")
                for issue in analysis.get("security_issues", [])[:3]:  # Show first 3
                    severity = issue.get("severity", "UNKNOWN")
                    issue_type = issue.get("issue", "unknown")
                    logger.warning(f"   ├─ [{severity}] {issue_type}")
            
            if endpoint_count > 0:
                logger.info(f"📊 Discovered endpoints:")
                for endpoint in analysis.get("endpoints_found", [])[:5]:  # Show first 5
                    method = endpoint.get("method", "GET")
                    path = endpoint.get("path", "/")
                    logger.info(f"   ├─ {method} {path}")
        else:
            logger.error("❌ Schema analysis failed")
        
        return result

    @mcp.tool()
    def comprehensive_api_audit(base_url: str, schema_url: str = "", jwt_token: str = "", graphql_endpoint: str = "") -> Dict[str, Any]:
        """
        Comprehensive API security audit combining multiple testing techniques.
        
        Args:
            base_url: Base URL of the API
            schema_url: Optional API schema URL
            jwt_token: Optional JWT token for analysis
            graphql_endpoint: Optional GraphQL endpoint
            
        Returns:
            Comprehensive audit results with all API security tests
        """
        audit_results = {
            "base_url": base_url,
            "audit_timestamp": time.time(),
            "tests_performed": [],
            "total_vulnerabilities": 0,
            "summary": {},
            "recommendations": []
        }
        
        logger.info(f"🚀 Starting comprehensive API security audit: {base_url}")
        
        # 1. API Endpoint Fuzzing
        logger.info("🔍 Phase 1: API endpoint discovery and fuzzing")
        fuzz_result = self.api_fuzzer(base_url)
        if fuzz_result.get("success"):
            audit_results["tests_performed"].append("api_fuzzing")
            audit_results["api_fuzzing"] = fuzz_result
        
        # 2. Schema Analysis (if provided)
        if schema_url:
            logger.info("🔍 Phase 2: API schema analysis")
            schema_result = self.api_schema_analyzer(schema_url)
            if schema_result.get("success"):
                audit_results["tests_performed"].append("schema_analysis")
                audit_results["schema_analysis"] = schema_result
                
                schema_data = schema_result.get("schema_analysis_results", {})
                audit_results["total_vulnerabilities"] += len(schema_data.get("security_issues", []))
        
        # 3. JWT Analysis (if provided)
        if jwt_token:
            logger.info("🔍 Phase 3: JWT token analysis")
            jwt_result = self.jwt_analyzer(jwt_token, base_url)
            if jwt_result.get("success"):
                audit_results["tests_performed"].append("jwt_analysis")
                audit_results["jwt_analysis"] = jwt_result
                
                jwt_data = jwt_result.get("jwt_analysis_results", {})
                audit_results["total_vulnerabilities"] += len(jwt_data.get("vulnerabilities", []))
        
        # 4. GraphQL Testing (if provided)
        if graphql_endpoint:
            logger.info("🔍 Phase 4: GraphQL security scanning")
            graphql_result = self.graphql_scanner(graphql_endpoint)
            if graphql_result.get("success"):
                audit_results["tests_performed"].append("graphql_scanning")
                audit_results["graphql_scanning"] = graphql_result
                
                graphql_data = graphql_result.get("graphql_scan_results", {})
                audit_results["total_vulnerabilities"] += len(graphql_data.get("vulnerabilities", []))
        
        # Generate comprehensive recommendations
        audit_results["recommendations"] = [
            "Implement proper authentication and authorization",
            "Use HTTPS for all API communications",
            "Validate and sanitize all input parameters",
            "Implement rate limiting and request throttling",
            "Add comprehensive logging and monitoring",
            "Regular security testing and code reviews",
            "Keep API documentation updated and secure",
            "Implement proper error handling"
        ]
        
        # Summary
        audit_results["summary"] = {
            "tests_performed": len(audit_results["tests_performed"]),
            "total_vulnerabilities": audit_results["total_vulnerabilities"],
            "audit_coverage": "comprehensive" if len(audit_results["tests_performed"]) >= 3 else "partial"
        }
        
        logger.info(f"✅ Comprehensive API audit completed:")
        logger.info(f"   ├─ Tests performed: {audit_results['summary']['tests_performed']}")
        logger.info(f"   ├─ Total vulnerabilities: {audit_results['summary']['total_vulnerabilities']}")
        logger.info(f"   └─ Coverage: {audit_results['summary']['audit_coverage']}")
        
        return {
            "success": True,
            "comprehensive_audit": audit_results
        }

    # ============================================================================
    # ADVANCED CTF TOOLS (v5.0 ENHANCEMENT)
    # ============================================================================

    @mcp.tool()
    def volatility3_analyze(memory_file: str, plugin: str, output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Volatility3 for advanced memory forensics with enhanced logging.
        
        Args:
            memory_file: Path to memory dump file
            plugin: Volatility3 plugin to execute
            output_file: Output file path
            additional_args: Additional Volatility3 arguments
            
        Returns:
            Advanced memory forensics results
        """
        data = {
            "memory_file": memory_file,
            "plugin": plugin,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🧠 Starting Volatility3 analysis: {plugin}")
        result = hexstrike_client.safe_post("api/tools/volatility3", data)
        if result.get("success"):
            logger.info(f"✅ Volatility3 analysis completed")
        else:
            logger.error(f"❌ Volatility3 analysis failed")
        return result

    @mcp.tool()
    def foremost_carving(input_file: str, output_dir: str = "/tmp/foremost_output", file_types: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Foremost for file carving with enhanced logging.
        
        Args:
            input_file: Input file or device to carve
            output_dir: Output directory for carved files
            file_types: File types to carve (jpg,gif,png,etc.)
            additional_args: Additional Foremost arguments
            
        Returns:
            File carving results
        """
        data = {
            "input_file": input_file,
            "output_dir": output_dir,
            "file_types": file_types,
            "additional_args": additional_args
        }
        logger.info(f"📁 Starting Foremost file carving: {input_file}")
        result = hexstrike_client.safe_post("api/tools/foremost", data)
        if result.get("success"):
            logger.info(f"✅ Foremost carving completed")
        else:
            logger.error(f"❌ Foremost carving failed")
        return result

    @mcp.tool()
    def steghide_analysis(action: str, cover_file: str, embed_file: str = "", passphrase: str = "", output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Steghide for steganography analysis with enhanced logging.
        
        Args:
            action: Action to perform (extract, embed, info)
            cover_file: Cover file for steganography
            embed_file: File to embed (for embed action)
            passphrase: Passphrase for steganography
            output_file: Output file path
            additional_args: Additional Steghide arguments
            
        Returns:
            Steganography analysis results
        """
        data = {
            "action": action,
            "cover_file": cover_file,
            "embed_file": embed_file,
            "passphrase": passphrase,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🖼️ Starting Steghide {action}: {cover_file}")
        result = hexstrike_client.safe_post("api/tools/steghide", data)
        if result.get("success"):
            logger.info(f"✅ Steghide {action} completed")
        else:
            logger.error(f"❌ Steghide {action} failed")
        return result

    @mcp.tool()
    def exiftool_extract(file_path: str, output_format: str = "", tags: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute ExifTool for metadata extraction with enhanced logging.
        
        Args:
            file_path: Path to file for metadata extraction
            output_format: Output format (json, xml, csv)
            tags: Specific tags to extract
            additional_args: Additional ExifTool arguments
            
        Returns:
            Metadata extraction results
        """
        data = {
            "file_path": file_path,
            "output_format": output_format,
            "tags": tags,
            "additional_args": additional_args
        }
        logger.info(f"📷 Starting ExifTool analysis: {file_path}")
        result = hexstrike_client.safe_post("api/tools/exiftool", data)
        if result.get("success"):
            logger.info(f"✅ ExifTool analysis completed")
        else:
            logger.error(f"❌ ExifTool analysis failed")
        return result

    @mcp.tool()
    def hashpump_attack(signature: str, data: str, key_length: str, append_data: str, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute HashPump for hash length extension attacks with enhanced logging.
        
        Args:
            signature: Original hash signature
            data: Original data
            key_length: Length of secret key
            append_data: Data to append
            additional_args: Additional HashPump arguments
            
        Returns:
            Hash length extension attack results
        """
        data = {
            "signature": signature,
            "data": data,
            "key_length": key_length,
            "append_data": append_data,
            "additional_args": additional_args
        }
        logger.info(f"🔐 Starting HashPump attack")
        result = hexstrike_client.safe_post("api/tools/hashpump", data)
        if result.get("success"):
            logger.info(f"✅ HashPump attack completed")
        else:
            logger.error(f"❌ HashPump attack failed")
        return result

    # ============================================================================
    # BUG BOUNTY RECONNAISSANCE TOOLS (v5.0 ENHANCEMENT)
    # ============================================================================

    @mcp.tool()
    def hakrawler_crawl(url: str, depth: int = 2, forms: bool = True, robots: bool = True, sitemap: bool = True, wayback: bool = False, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Hakrawler for web endpoint discovery with enhanced logging.
        
        Args:
            url: Target URL to crawl
            depth: Crawling depth
            forms: Include forms in crawling
            robots: Check robots.txt
            sitemap: Check sitemap.xml
            wayback: Use Wayback Machine
            additional_args: Additional Hakrawler arguments
            
        Returns:
            Web endpoint discovery results
        """
        data = {
            "url": url,
            "depth": depth,
            "forms": forms,
            "robots": robots,
            "sitemap": sitemap,
            "wayback": wayback,
            "additional_args": additional_args
        }
        logger.info(f"🕷️ Starting Hakrawler crawling: {url}")
        result = hexstrike_client.safe_post("api/tools/hakrawler", data)
        if result.get("success"):
            logger.info(f"✅ Hakrawler crawling completed")
        else:
            logger.error(f"❌ Hakrawler crawling failed")
        return result

    @mcp.tool()
    def httpx_probe(targets: str = "", target_file: str = "", ports: str = "", methods: str = "GET", status_code: str = "", content_length: bool = False, output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute HTTPx for HTTP probing with enhanced logging.
        
        Args:
            targets: Target URLs or IPs
            target_file: File containing targets
            ports: Ports to probe
            methods: HTTP methods to use
            status_code: Filter by status code
            content_length: Show content length
            output_file: Output file path
            additional_args: Additional HTTPx arguments
            
        Returns:
            HTTP probing results
        """
        data = {
            "targets": targets,
            "target_file": target_file,
            "ports": ports,
            "methods": methods,
            "status_code": status_code,
            "content_length": content_length,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🌐 Starting HTTPx probing")
        result = hexstrike_client.safe_post("api/tools/httpx", data)
        if result.get("success"):
            logger.info(f"✅ HTTPx probing completed")
        else:
            logger.error(f"❌ HTTPx probing failed")
        return result

    @mcp.tool()
    def paramspider_discovery(domain: str, exclude: str = "", output_file: str = "", level: int = 2, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute ParamSpider for parameter discovery with enhanced logging.
        
        Args:
            domain: Target domain
            exclude: Extensions to exclude
            output_file: Output file path
            level: Crawling level
            additional_args: Additional ParamSpider arguments
            
        Returns:
            Parameter discovery results
        """
        data = {
            "domain": domain,
            "exclude": exclude,
            "output_file": output_file,
            "level": level,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting ParamSpider discovery: {domain}")
        result = hexstrike_client.safe_post("api/tools/paramspider", data)
        if result.get("success"):
            logger.info(f"✅ ParamSpider discovery completed")
        else:
            logger.error(f"❌ ParamSpider discovery failed")
        return result

    # ============================================================================
    # ADVANCED WEB SECURITY TOOLS CONTINUED
    # ============================================================================

    @mcp.tool()
    def burpsuite_scan(project_file: str = "", config_file: str = "", target: str = "", headless: bool = False, scan_type: str = "", scan_config: str = "", output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Burp Suite with enhanced logging.
        
        Args:
            project_file: Burp project file path
            config_file: Burp configuration file path
            target: Target URL
            headless: Run in headless mode
            scan_type: Type of scan to perform
            scan_config: Scan configuration
            output_file: Output file path
            additional_args: Additional Burp Suite arguments
            
        Returns:
            Burp Suite scan results
        """
        data = {
            "project_file": project_file,
            "config_file": config_file,
            "target": target,
            "headless": headless,
            "scan_type": scan_type,
            "scan_config": scan_config,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Burp Suite scan")
        result = hexstrike_client.safe_post("api/tools/burpsuite", data)
        if result.get("success"):
            logger.info(f"✅ Burp Suite scan completed")
        else:
            logger.error(f"❌ Burp Suite scan failed")
        return result

    @mcp.tool()
    def zap_scan(target: str = "", scan_type: str = "baseline", api_key: str = "", daemon: bool = False, port: str = "8090", host: str = "0.0.0.0", format_type: str = "xml", output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute OWASP ZAP with enhanced logging.
        
        Args:
            target: Target URL
            scan_type: Type of scan (baseline, full, api)
            api_key: ZAP API key
            daemon: Run in daemon mode
            port: Port for ZAP daemon
            host: Host for ZAP daemon
            format_type: Output format (xml, json, html)
            output_file: Output file path
            additional_args: Additional ZAP arguments
            
        Returns:
            ZAP scan results
        """
        data = {
            "target": target,
            "scan_type": scan_type,
            "api_key": api_key,
            "daemon": daemon,
            "port": port,
            "host": host,
            "format": format_type,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting ZAP scan: {target}")
        result = hexstrike_client.safe_post("api/tools/zap", data)
        if result.get("success"):
            logger.info(f"✅ ZAP scan completed for {target}")
        else:
            logger.error(f"❌ ZAP scan failed for {target}")
        return result

    @mcp.tool()
    def arjun_scan(url: str, method: str = "GET", data: str = "", headers: str = "", timeout: str = "", output_file: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute Arjun for parameter discovery with enhanced logging.
        
        Args:
            url: Target URL
            method: HTTP method (GET, POST, etc.)
            data: POST data for testing
            headers: Custom headers
            timeout: Request timeout
            output_file: Output file path
            additional_args: Additional Arjun arguments
            
        Returns:
            Parameter discovery results
        """
        data = {
            "url": url,
            "method": method,
            "data": data,
            "headers": headers,
            "timeout": timeout,
            "output_file": output_file,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Arjun parameter discovery: {url}")
        result = hexstrike_client.safe_post("api/tools/arjun", data)
        if result.get("success"):
            logger.info(f"✅ Arjun completed for {url}")
        else:
            logger.error(f"❌ Arjun failed for {url}")
        return result

    @mcp.tool()
    def wafw00f_scan(target: str, additional_args: str = "") -> Dict[str, Any]:
        """
        Execute wafw00f to identify and fingerprint WAF products with enhanced logging.
        
        Args:
            target: Target URL or IP
            additional_args: Additional wafw00f arguments
            
        Returns:
            WAF detection results
        """
        data = {
            "target": target,
            "additional_args": additional_args
        }
        logger.info(f"🛡️ Starting Wafw00f WAF detection: {target}")
        result = hexstrike_client.safe_post("api/tools/wafw00f", data)
        if result.get("success"):
            logger.info(f"✅ Wafw00f completed for {target}")
        else:
            logger.error(f"❌ Wafw00f failed for {target}")
        return result

    @mcp.tool()
    def fierce_scan(domain: str, dns_server: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute fierce for DNS reconnaissance with enhanced logging.
        
        Args:
            domain: Target domain
            dns_server: DNS server to use
            additional_args: Additional fierce arguments
            
        Returns:
            DNS reconnaissance results
        """
        data = {
            "domain": domain,
            "dns_server": dns_server,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting Fierce DNS recon: {domain}")
        result = hexstrike_client.safe_post("api/tools/fierce", data)
        if result.get("success"):
            logger.info(f"✅ Fierce completed for {domain}")
        else:
            logger.error(f"❌ Fierce failed for {domain}")
        return result

    @mcp.tool()
    def dnsenum_scan(domain: str, dns_server: str = "", wordlist: str = "", additional_args: str = "") -> Dict[str, Any]:
        """
        Execute dnsenum for DNS enumeration with enhanced logging.
        
        Args:
            domain: Target domain
            dns_server: DNS server to use
            wordlist: Wordlist for brute forcing
            additional_args: Additional dnsenum arguments
            
        Returns:
            DNS enumeration results
        """
        data = {
            "domain": domain,
            "dns_server": dns_server,
            "wordlist": wordlist,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting DNSenum: {domain}")
        result = hexstrike_client.safe_post("api/tools/dnsenum", data)
        if result.get("success"):
            logger.info(f"✅ DNSenum completed for {domain}")
        else:
            logger.error(f"❌ DNSenum failed for {domain}")
        return result

    @mcp.tool()
    def autorecon_scan(
        target: str = "",
        target_file: str = "",
        ports: str = "",
        output_dir: str = "",
        max_scans: str = "",
        max_port_scans: str = "",
        heartbeat: str = "",
        timeout: str = "",
        target_timeout: str = "",
        config_file: str = "",
        global_file: str = "",
        plugins_dir: str = "",
        add_plugins_dir: str = "",
        tags: str = "",
        exclude_tags: str = "",
        port_scans: str = "",
        service_scans: str = "",
        reports: str = "",
        single_target: bool = False,
        only_scans_dir: bool = False,
        no_port_dirs: bool = False,
        nmap: str = "",
        nmap_append: str = "",
        proxychains: bool = False,
        disable_sanity_checks: bool = False,
        disable_keyboard_control: bool = False,
        force_services: str = "",
        accessible: bool = False,
        verbose: int = 0,
        curl_path: str = "",
        dirbuster_tool: str = "",
        dirbuster_wordlist: str = "",
        dirbuster_threads: str = "",
        dirbuster_ext: str = "",
        onesixtyone_community_strings: str = "",
        global_username_wordlist: str = "",
        global_password_wordlist: str = "",
        global_domain: str = "",
        additional_args: str = ""
    ) -> Dict[str, Any]:
        """
        Execute AutoRecon for comprehensive target enumeration with full parameter support.
        
        Args:
            target: Single target to scan
            target_file: File containing multiple targets
            ports: Specific ports to scan
            output_dir: Output directory
            max_scans: Maximum number of concurrent scans
            max_port_scans: Maximum number of concurrent port scans
            heartbeat: Heartbeat interval
            timeout: Global timeout
            target_timeout: Per-target timeout
            config_file: Configuration file path
            global_file: Global configuration file
            plugins_dir: Plugins directory
            add_plugins_dir: Additional plugins directory
            tags: Plugin tags to include
            exclude_tags: Plugin tags to exclude
            port_scans: Port scan plugins to run
            service_scans: Service scan plugins to run
            reports: Report plugins to run
            single_target: Use single target directory structure
            only_scans_dir: Only create scans directory
            no_port_dirs: Don't create port directories
            nmap: Custom nmap command
            nmap_append: Arguments to append to nmap
            proxychains: Use proxychains
            disable_sanity_checks: Disable sanity checks
            disable_keyboard_control: Disable keyboard control
            force_services: Force service detection
            accessible: Enable accessible output
            verbose: Verbosity level (0-3)
            curl_path: Custom curl path
            dirbuster_tool: Directory busting tool
            dirbuster_wordlist: Directory busting wordlist
            dirbuster_threads: Directory busting threads
            dirbuster_ext: Directory busting extensions
            onesixtyone_community_strings: SNMP community strings
            global_username_wordlist: Global username wordlist
            global_password_wordlist: Global password wordlist
            global_domain: Global domain
            additional_args: Additional AutoRecon arguments
            
        Returns:
            Comprehensive enumeration results with full configurability
        """
        data = {
            "target": target,
            "target_file": target_file,
            "ports": ports,
            "output_dir": output_dir,
            "max_scans": max_scans,
            "max_port_scans": max_port_scans,
            "heartbeat": heartbeat,
            "timeout": timeout,
            "target_timeout": target_timeout,
            "config_file": config_file,
            "global_file": global_file,
            "plugins_dir": plugins_dir,
            "add_plugins_dir": add_plugins_dir,
            "tags": tags,
            "exclude_tags": exclude_tags,
            "port_scans": port_scans,
            "service_scans": service_scans,
            "reports": reports,
            "single_target": single_target,
            "only_scans_dir": only_scans_dir,
            "no_port_dirs": no_port_dirs,
            "nmap": nmap,
            "nmap_append": nmap_append,
            "proxychains": proxychains,
            "disable_sanity_checks": disable_sanity_checks,
            "disable_keyboard_control": disable_keyboard_control,
            "force_services": force_services,
            "accessible": accessible,
            "verbose": verbose,
            "curl_path": curl_path,
            "dirbuster_tool": dirbuster_tool,
            "dirbuster_wordlist": dirbuster_wordlist,
            "dirbuster_threads": dirbuster_threads,
            "dirbuster_ext": dirbuster_ext,
            "onesixtyone_community_strings": onesixtyone_community_strings,
            "global_username_wordlist": global_username_wordlist,
            "global_password_wordlist": global_password_wordlist,
            "global_domain": global_domain,
            "additional_args": additional_args
        }
        logger.info(f"🔍 Starting AutoRecon comprehensive enumeration: {target}")
        result = hexstrike_client.safe_post("api/tools/autorecon", data)
        if result.get("success"):
            logger.info(f"✅ AutoRecon comprehensive enumeration completed for {target}")
        else:
            logger.error(f"❌ AutoRecon failed for {target}")
        return result

    # ============================================================================
    # SYSTEM MONITORING & TELEMETRY
    # ============================================================================
    
    @mcp.tool()
    def server_health() -> Dict[str, Any]:
        """
        Check the health status of the HexStrike AI server.
        
        Returns:
            Server health information with tool availability and telemetry
        """
        logger.info(f"🏥 Checking HexStrike AI server health")
        result = hexstrike_client.check_health()
        if result.get("status") == "healthy":
            logger.info(f"✅ Server is healthy - {result.get('total_tools_available', 0)} tools available")
        else:
            logger.warning(f"⚠️  Server health check returned: {result.get('status', 'unknown')}")
        return result

    @mcp.tool()
    def get_cache_stats() -> Dict[str, Any]:
        """
        Get cache statistics from the HexStrike AI server.
        
        Returns:
            Cache performance statistics
        """
        logger.info(f"💾 Getting cache statistics")
        result = hexstrike_client.safe_get("api/cache/stats")
        if "hit_rate" in result:
            logger.info(f"📊 Cache hit rate: {result.get('hit_rate', 'unknown')}")
        return result

    @mcp.tool()
    def clear_cache() -> Dict[str, Any]:
        """
        Clear the cache on the HexStrike AI server.
        
        Returns:
            Cache clear operation results
        """
        logger.info(f"🧹 Clearing server cache")
        result = hexstrike_client.safe_post("api/cache/clear", {})
        if result.get("success"):
            logger.info(f"✅ Cache cleared successfully")
        else:
            logger.error(f"❌ Failed to clear cache")
        return result

    @mcp.tool()
    def get_telemetry() -> Dict[str, Any]:
        """
        Get system telemetry from the HexStrike AI server.
        
        Returns:
            System performance and usage telemetry
        """
        logger.info(f"📈 Getting system telemetry")
        result = hexstrike_client.safe_get("api/telemetry")
        if "commands_executed" in result:
            logger.info(f"📊 Commands executed: {result.get('commands_executed', 0)}")
        return result
    
    # ============================================================================
    # PROCESS MANAGEMENT TOOLS (v5.0 ENHANCEMENT)
    # ============================================================================

    @mcp.tool()
    def list_active_processes() -> Dict[str, Any]:
        """
        List all active processes on the HexStrike AI server.
        
        Returns:
            List of active processes with their status and progress
        """
        logger.info("📊 Listing active processes")
        result = hexstrike_client.safe_get("api/processes/list")
        if result.get("success"):
            logger.info(f"✅ Found {result.get('total_count', 0)} active processes")
        else:
            logger.error("❌ Failed to list processes")
        return result

    @mcp.tool()
    def get_process_status(pid: int) -> Dict[str, Any]:
        """
        Get the status of a specific process.
        
        Args:
            pid: Process ID to check
            
        Returns:
            Process status information including progress and runtime
        """
        logger.info(f"🔍 Checking status of process {pid}")
        result = hexstrike_client.safe_get(f"api/processes/status/{pid}")
        if result.get("success"):
            logger.info(f"✅ Process {pid} status retrieved")
        else:
            logger.error(f"❌ Process {pid} not found or error occurred")
        return result

    @mcp.tool()
    def terminate_process(pid: int) -> Dict[str, Any]:
        """
        Terminate a specific running process.
        
        Args:
            pid: Process ID to terminate
            
        Returns:
            Success status of the termination operation
        """
        logger.info(f"🛑 Terminating process {pid}")
        result = hexstrike_client.safe_post(f"api/processes/terminate/{pid}", {})
        if result.get("success"):
            logger.info(f"✅ Process {pid} terminated successfully")
        else:
            logger.error(f"❌ Failed to terminate process {pid}")
        return result

    @mcp.tool()
    def pause_process(pid: int) -> Dict[str, Any]:
        """
        Pause a specific running process.
        
        Args:
            pid: Process ID to pause
            
        Returns:
            Success status of the pause operation
        """
        logger.info(f"⏸️ Pausing process {pid}")
        result = hexstrike_client.safe_post(f"api/processes/pause/{pid}", {})
        if result.get("success"):
            logger.info(f"✅ Process {pid} paused successfully")
        else:
            logger.error(f"❌ Failed to pause process {pid}")
        return result

    @mcp.tool()
    def resume_process(pid: int) -> Dict[str, Any]:
        """
        Resume a paused process.
        
        Args:
            pid: Process ID to resume
            
        Returns:
            Success status of the resume operation
        """
        logger.info(f"▶️ Resuming process {pid}")
        result = hexstrike_client.safe_post(f"api/processes/resume/{pid}", {})
        if result.get("success"):
            logger.info(f"✅ Process {pid} resumed successfully")
        else:
            logger.error(f"❌ Failed to resume process {pid}")
        return result

    @mcp.tool()
    def get_process_dashboard() -> Dict[str, Any]:
        """
        Get enhanced process dashboard with visual status indicators.
        
        Returns:
            Real-time dashboard with progress bars, system metrics, and process status
        """
        logger.info("📊 Getting process dashboard")
        result = hexstrike_client.safe_get("api/processes/dashboard")
        if result.get("success", True) and "total_processes" in result:
            total = result.get("total_processes", 0)
            logger.info(f"✅ Dashboard retrieved: {total} active processes")
            
            # Log visual summary for better UX
            if total > 0:
                logger.info("📈 Active Processes Summary:")
                for proc in result.get("processes", [])[:3]:  # Show first 3
                    logger.info(f"   ├─ PID {proc['pid']}: {proc['progress_bar']} {proc['progress_percent']}")
        else:
            logger.error("❌ Failed to get process dashboard")
        return result
    
    @mcp.tool()
    def execute_command(command: str, use_cache: bool = True) -> Dict[str, Any]:
        """
        Execute an arbitrary command on the HexStrike AI server with enhanced logging.
        
        Args:
            command: The command to execute
            use_cache: Whether to use caching for this command
            
        Returns:
            Command execution results with enhanced telemetry
        """
        try:
            logger.info(f"⚡ Executing command: {command}")
            result = hexstrike_client.execute_command(command, use_cache)
            if "error" in result:
                logger.error(f"❌ Command failed: {result['error']}")
                return {
                    "success": False,
                    "error": result["error"],
                    "stdout": "",
                    "stderr": f"Error executing command: {result['error']}"
                }
            
            if result.get("success"):
                execution_time = result.get("execution_time", 0)
                logger.info(f"✅ Command completed successfully in {execution_time:.2f}s")
            else:
                logger.warning(f"⚠️  Command completed with errors")
            
            return result
        except Exception as e:
            logger.error(f"💥 Error executing command '{command}': {str(e)}")
            return {
                "success": False,
                "error": str(e),
                "stdout": "",
                "stderr": f"Error executing command: {str(e)}"
            }

    # ============================================================================
    # ADVANCED VULNERABILITY INTELLIGENCE MCP TOOLS (v6.0 ENHANCEMENT)
    # ============================================================================

    @mcp.tool()
    def monitor_cve_feeds(hours: int = 24, severity_filter: str = "HIGH,CRITICAL", keywords: str = "") -> Dict[str, Any]:
        """
        Monitor CVE databases for new vulnerabilities with AI analysis.
        
        Args:
            hours: Hours to look back for new CVEs (default: 24)
            severity_filter: Filter by CVSS severity - comma-separated values (LOW,MEDIUM,HIGH,CRITICAL,ALL)
            keywords: Filter CVEs by keywords in description (comma-separated)
            
        Returns:
            Latest CVEs with exploitability analysis and threat intelligence
            
        Example:
            monitor_cve_feeds(48, "CRITICAL", "remote code execution")
        """
        data = {
            "hours": hours,
            "severity_filter": severity_filter,
            "keywords": keywords
        }
        logger.info(f"🔍 Monitoring CVE feeds for last {hours} hours | Severity: {severity_filter}")
        result = hexstrike_client.safe_post("api/vuln-intel/cve-monitor", data)
        
        if result.get("success"):
            cve_count = len(result.get("cve_monitoring", {}).get("cves", []))
            exploit_analysis_count = len(result.get("exploitability_analysis", []))
            logger.info(f"✅ Found {cve_count} CVEs with {exploit_analysis_count} exploitability analyses")
        
        return result

    @mcp.tool()
    def generate_exploit_from_cve(cve_id: str, target_os: str = "", target_arch: str = "x64", exploit_type: str = "poc", evasion_level: str = "none") -> Dict[str, Any]:
        """
        Generate working exploits from CVE information using AI-powered analysis.
        
        Args:
            cve_id: CVE identifier (e.g., CVE-2024-1234)
            target_os: Target operating system (windows, linux, macos, any)
            target_arch: Target architecture (x86, x64, arm, any)
            exploit_type: Type of exploit to generate (poc, weaponized, stealth)
            evasion_level: Evasion sophistication (none, basic, advanced)
            
        Returns:
            Generated exploit code with testing instructions and evasion techniques
            
        Example:
            generate_exploit_from_cve("CVE-2024-1234", "linux", "x64", "weaponized", "advanced")
        """
        data = {
            "cve_id": cve_id,
            "target_os": target_os,
            "target_arch": target_arch,
            "exploit_type": exploit_type,
            "evasion_level": evasion_level
        }
        logger.info(f"🤖 Generating {exploit_type} exploit for {cve_id} | Target: {target_os} {target_arch}")
        result = hexstrike_client.safe_post("api/vuln-intel/exploit-generate", data)
        
        if result.get("success"):
            cve_analysis = result.get("cve_analysis", {})
            exploit_gen = result.get("exploit_generation", {})
            exploitability = cve_analysis.get("exploitability_level", "UNKNOWN")
            exploit_success = exploit_gen.get("success", False)
            
            logger.info(f"📊 CVE Analysis: {exploitability} exploitability")
            logger.info(f"🎯 Exploit Generation: {'SUCCESS' if exploit_success else 'FAILED'}")
        
        return result

    @mcp.tool()
    def discover_attack_chains(target_software: str, attack_depth: int = 3, include_zero_days: bool = False) -> Dict[str, Any]:
        """
        Discover multi-stage attack chains for target software with vulnerability correlation.
        
        Args:
            target_software: Target software/system (e.g., "Apache HTTP Server", "Windows Server 2019")
            attack_depth: Maximum number of stages in attack chain (1-5)
            include_zero_days: Include potential zero-day vulnerabilities in analysis
            
        Returns:
            Attack chains with vulnerability combinations, success probabilities, and exploit availability
            
        Example:
            discover_attack_chains("Apache HTTP Server 2.4", 4, True)
        """
        data = {
            "target_software": target_software,
            "attack_depth": min(max(attack_depth, 1), 5),  # Clamp between 1-5
            "include_zero_days": include_zero_days
        }
        logger.info(f"🔗 Discovering attack chains for {target_software} | Depth: {attack_depth} | Zero-days: {include_zero_days}")
        result = hexstrike_client.safe_post("api/vuln-intel/attack-chains", data)
        
        if result.get("success"):
            chains = result.get("attack_chain_discovery", {}).get("attack_chains", [])
            enhanced_chains = result.get("attack_chain_discovery", {}).get("enhanced_chains", [])
            
            logger.info(f"📊 Found {len(chains)} attack chains")
            if enhanced_chains:
                logger.info(f"🎯 Enhanced {len(enhanced_chains)} chains with exploit analysis")
        
        return result

    @mcp.tool()
    def research_zero_day_opportunities(target_software: str, analysis_depth: str = "standard", source_code_url: str = "") -> Dict[str, Any]:
        """
        Automated zero-day vulnerability research using AI analysis and pattern recognition.
        
        Args:
            target_software: Software to research for vulnerabilities (e.g., "nginx", "OpenSSL")
            analysis_depth: Depth of analysis (quick, standard, comprehensive)
            source_code_url: URL to source code repository for enhanced analysis
            
        Returns:
            Potential vulnerability areas with exploitation feasibility and research recommendations
            
        Example:
            research_zero_day_opportunities("nginx 1.20", "comprehensive", "https://github.com/nginx/nginx")
        """
        if analysis_depth not in ["quick", "standard", "comprehensive"]:
            analysis_depth = "standard"
        
        data = {
            "target_software": target_software,
            "analysis_depth": analysis_depth,
            "source_code_url": source_code_url
        }
        logger.info(f"🔬 Researching zero-day opportunities in {target_software} | Depth: {analysis_depth}")
        result = hexstrike_client.safe_post("api/vuln-intel/zero-day-research", data)
        
        if result.get("success"):
            research = result.get("zero_day_research", {})
            potential_vulns = len(research.get("potential_vulnerabilities", []))
            risk_score = research.get("risk_assessment", {}).get("risk_score", 0)
            
            logger.info(f"📊 Found {potential_vulns} potential vulnerability areas")
            logger.info(f"🎯 Risk Score: {risk_score}/100")
        
        return result

    @mcp.tool()
    def correlate_threat_intelligence(indicators: str, timeframe: str = "30d", sources: str = "all") -> Dict[str, Any]:
        """
        Correlate threat intelligence across multiple sources with advanced analysis.
        
        Args:
            indicators: Comma-separated IOCs (IPs, domains, hashes, CVEs, etc.)
            timeframe: Time window for correlation (7d, 30d, 90d, 1y)
            sources: Intelligence sources to query (cve, exploit-db, github, twitter, all)
            
        Returns:
            Correlated threat intelligence with attribution, timeline, and threat scoring
            
        Example:
            correlate_threat_intelligence("CVE-2024-1234,192.168.1.100,malware.exe", "90d", "all")
        """
        # Validate timeframe
        valid_timeframes = ["7d", "30d", "90d", "1y"]
        if timeframe not in valid_timeframes:
            timeframe = "30d"
        
        # Parse indicators
        indicator_list = [i.strip() for i in indicators.split(",") if i.strip()]
        
        if not indicator_list:
            logger.error("❌ No valid indicators provided")
            return {"success": False, "error": "No valid indicators provided"}
        
        data = {
            "indicators": indicator_list,
            "timeframe": timeframe,
            "sources": sources
        }
        logger.info(f"🧠 Correlating threat intelligence for {len(indicator_list)} indicators | Timeframe: {timeframe}")
        result = hexstrike_client.safe_post("api/vuln-intel/threat-feeds", data)
        
        if result.get("success"):
            threat_intel = result.get("threat_intelligence", {})
            correlations = len(threat_intel.get("correlations", []))
            threat_score = threat_intel.get("threat_score", 0)
            
            logger.info(f"📊 Found {correlations} threat correlations")
            logger.info(f"🎯 Overall Threat Score: {threat_score:.1f}/100")
        
        return result

    @mcp.tool()
    def advanced_payload_generation(attack_type: str, target_context: str = "", evasion_level: str = "standard", custom_constraints: str = "") -> Dict[str, Any]:
        """
        Generate advanced payloads with AI-powered evasion techniques and contextual adaptation.
        
        Args:
            attack_type: Type of attack (rce, privilege_escalation, persistence, exfiltration, xss, sqli)
            target_context: Target environment details (OS, software versions, security controls)
            evasion_level: Evasion sophistication (basic, standard, advanced, nation-state)
            custom_constraints: Custom payload constraints (size limits, character restrictions, etc.)
            
        Returns:
            Advanced payloads with multiple evasion techniques and deployment instructions
            
        Example:
            advanced_payload_generation("rce", "Windows 11 + Defender + AppLocker", "nation-state", "max_size:256,no_quotes")
        """
        valid_attack_types = ["rce", "privilege_escalation", "persistence", "exfiltration", "xss", "sqli", "lfi", "ssrf"]
        valid_evasion_levels = ["basic", "standard", "advanced", "nation-state"]
        
        if attack_type not in valid_attack_types:
            attack_type = "rce"
        
        if evasion_level not in valid_evasion_levels:
            evasion_level = "standard"
        
        data = {
            "attack_type": attack_type,
            "target_context": target_context,
            "evasion_level": evasion_level,
            "custom_constraints": custom_constraints
        }
        logger.info(f"🎯 Generating advanced {attack_type} payload | Evasion: {evasion_level}")
        if target_context:
            logger.info(f"🎯 Target Context: {target_context}")
        
        result = hexstrike_client.safe_post("api/ai/advanced-payload-generation", data)
        
        if result.get("success"):
            payload_gen = result.get("advanced_payload_generation", {})
            payload_count = payload_gen.get("payload_count", 0)
            evasion_applied = payload_gen.get("evasion_level", "none")
            
            logger.info(f"📊 Generated {payload_count} advanced payloads")
            logger.info(f"🛡️ Evasion Level Applied: {evasion_applied}")
        
        return result

    @mcp.tool()
    def vulnerability_intelligence_dashboard() -> Dict[str, Any]:
        """
        Get a comprehensive vulnerability intelligence dashboard with latest threats and trends.
        
        Returns:
            Dashboard with latest CVEs, trending vulnerabilities, exploit availability, and threat landscape
            
        Example:
            vulnerability_intelligence_dashboard()
        """
        logger.info("📊 Generating vulnerability intelligence dashboard")
        
        # Get latest critical CVEs
        latest_cves = hexstrike_client.safe_post("api/vuln-intel/cve-monitor", {
            "hours": 24,
            "severity_filter": "CRITICAL",
            "keywords": ""
        })
        
        # Get trending attack types
        trending_research = hexstrike_client.safe_post("api/vuln-intel/zero-day-research", {
            "target_software": "web applications",
            "analysis_depth": "quick"
        })
        
        # Compile dashboard
        dashboard = {
            "timestamp": time.time(),
            "latest_critical_cves": latest_cves.get("cve_monitoring", {}).get("cves", [])[:5],
            "threat_landscape": {
                "high_risk_software": ["Apache HTTP Server", "Microsoft Exchange", "VMware vCenter", "Fortinet FortiOS"],
                "trending_attack_vectors": ["Supply chain attacks", "Cloud misconfigurations", "Zero-day exploits", "AI-powered attacks"],
                "active_threat_groups": ["APT29", "Lazarus Group", "FIN7", "REvil"],
            },
            "exploit_intelligence": {
                "new_public_exploits": "Simulated data - check exploit-db for real data",
                "weaponized_exploits": "Monitor threat intelligence feeds",
                "exploit_kits": "Track underground markets"
            },
            "recommendations": [
                "Prioritize patching for critical CVEs discovered in last 24h",
                "Monitor for zero-day activity in trending attack vectors",
                "Implement advanced threat detection for active threat groups",
                "Review security controls against nation-state level attacks"
            ]
        }
        
        logger.info("✅ Vulnerability intelligence dashboard generated")
        return {
            "success": True,
            "dashboard": dashboard
        }

    @mcp.tool()
    def threat_hunting_assistant(target_environment: str, threat_indicators: str = "", hunt_focus: str = "general") -> Dict[str, Any]:
        """
        AI-powered threat hunting assistant with vulnerability correlation and attack simulation.
        
        Args:
            target_environment: Environment to hunt in (e.g., "Windows Domain", "Cloud Infrastructure")
            threat_indicators: Known IOCs or suspicious indicators to investigate
            hunt_focus: Focus area (general, apt, ransomware, insider_threat, supply_chain)
            
        Returns:
            Threat hunting playbook with detection queries, IOCs, and investigation steps
            
        Example:
            threat_hunting_assistant("Windows Domain", "suspicious_process.exe,192.168.1.100", "apt")
        """
        valid_hunt_focus = ["general", "apt", "ransomware", "insider_threat", "supply_chain"]
        if hunt_focus not in valid_hunt_focus:
            hunt_focus = "general"
        
        logger.info(f"🔍 Generating threat hunting playbook for {target_environment} | Focus: {hunt_focus}")
        
        # Parse indicators if provided
        indicators = [i.strip() for i in threat_indicators.split(",") if i.strip()] if threat_indicators else []
        
        # Generate hunting playbook
        hunting_playbook = {
            "target_environment": target_environment,
            "hunt_focus": hunt_focus,
            "indicators_analyzed": indicators,
            "detection_queries": [],
            "investigation_steps": [],
            "threat_scenarios": [],
            "mitigation_strategies": []
        }
        
        # Environment-specific detection queries
        if "windows" in target_environment.lower():
            hunting_playbook["detection_queries"] = [
                "Get-WinEvent | Where-Object {$_.Id -eq 4688 -and $_.Message -like '*suspicious*'}",
                "Get-Process | Where-Object {$_.ProcessName -notin @('explorer.exe', 'svchost.exe')}",
                "Get-ItemProperty HKLM:\\Software\\Microsoft\\Windows\\CurrentVersion\\Run",
                "Get-NetTCPConnection | Where-Object {$_.State -eq 'Established' -and $_.RemoteAddress -notlike '10.*'}"
            ]
        elif "cloud" in target_environment.lower():
            hunting_playbook["detection_queries"] = [
                "CloudTrail logs for unusual API calls",
                "Failed authentication attempts from unknown IPs",
                "Privilege escalation events",
                "Data exfiltration indicators"
            ]
        
        # Focus-specific threat scenarios
        focus_scenarios = {
            "apt": [
                "Spear phishing with weaponized documents",
                "Living-off-the-land techniques",
                "Lateral movement via stolen credentials",
                "Data staging and exfiltration"
            ],
            "ransomware": [
                "Initial access via RDP/VPN",
                "Privilege escalation and persistence",
                "Shadow copy deletion",
                "Encryption and ransom note deployment"
            ],
            "insider_threat": [
                "Unusual data access patterns",
                "After-hours activity",
                "Large data downloads",
                "Access to sensitive systems"
            ]
        }
        
        hunting_playbook["threat_scenarios"] = focus_scenarios.get(hunt_focus, [
            "Unauthorized access attempts",
            "Suspicious process execution",
            "Network anomalies",
            "Data access violations"
        ])
        
        # Investigation steps
        hunting_playbook["investigation_steps"] = [
            "1. Validate initial indicators and expand IOC list",
            "2. Run detection queries and analyze results",
            "3. Correlate events across multiple data sources",
            "4. Identify affected systems and user accounts",
            "5. Assess scope and impact of potential compromise",
            "6. Implement containment measures if threat confirmed",
            "7. Document findings and update detection rules"
        ]
        
        # Correlate with vulnerability intelligence if indicators provided
        if indicators:
            logger.info(f"🧠 Correlating {len(indicators)} indicators with threat intelligence")
            correlation_result = correlate_threat_intelligence(",".join(indicators), "30d", "all")
            
            if correlation_result.get("success"):
                hunting_playbook["threat_correlation"] = correlation_result.get("threat_intelligence", {})
        
        logger.info("✅ Threat hunting playbook generated")
        return {
            "success": True,
            "hunting_playbook": hunting_playbook
        }

    return mcp

def parse_args():
    """Parse command line arguments."""
    parser = argparse.ArgumentParser(description="Run the HexStrike AI MCP Client")
    parser.add_argument("--server", type=str, default=DEFAULT_HEXSTRIKE_SERVER, 
                      help=f"HexStrike AI API server URL (default: {DEFAULT_HEXSTRIKE_SERVER})")
    parser.add_argument("--timeout", type=int, default=DEFAULT_REQUEST_TIMEOUT,
                      help=f"Request timeout in seconds (default: {DEFAULT_REQUEST_TIMEOUT})")
    parser.add_argument("--debug", action="store_true", help="Enable debug logging")
    return parser.parse_args()

def main():
    """Main entry point for the MCP server."""
    args = parse_args()
    
    # Configure logging based on debug flag
    if args.debug:
        logger.setLevel(logging.DEBUG)
        logger.debug("🔍 Debug logging enabled")
    
    # Print startup banner
    banner = f"""
{Colors.RED}{Colors.BOLD}
🔥 HexStrike AI MCP Client v4.0
🤖 Advanced AI-driven cybersecurity automation
🔗 Connecting to: {args.server}
⚡ Enhanced features: caching, telemetry, file ops, cloud security
{Colors.RESET}
    """
    print(banner)
    
    try:
        # Initialize the HexStrike AI client
        hexstrike_client = HexStrikeClient(args.server, args.timeout)
        
        # Check server health and log the result
        health = hexstrike_client.check_health()
        if "error" in health:
            logger.warning(f"⚠️  Unable to connect to HexStrike AI API server at {args.server}: {health['error']}")
            logger.warning("🚀 MCP server will start, but tool execution may fail")
        else:
            logger.info(f"🎯 Successfully connected to HexStrike AI API server at {args.server}")
            logger.info(f"🏥 Server health status: {health['status']}")
            logger.info(f"📊 Version: {health.get('version', 'unknown')}")
            if not health.get("all_essential_tools_available", False):
                logger.warning("⚠️  Not all essential tools are available on the HexStrike server")
                missing_tools = [tool for tool, available in health.get("tools_status", {}).items() if not available]
                if missing_tools:
                    logger.warning(f"❌ Missing tools: {', '.join(missing_tools[:5])}{'...' if len(missing_tools) > 5 else ''}")
        
        # Set up and run the MCP server
        mcp = setup_mcp_server(hexstrike_client)
        logger.info("🚀 Starting HexStrike AI MCP server")
        logger.info("🤖 Ready to serve AI agents with enhanced cybersecurity capabilities")
        mcp.run()
    except Exception as e:
        logger.error(f"💥 Error starting MCP server: {str(e)}")
        import traceback
        logger.error(traceback.format_exc())
        sys.exit(1)

if __name__ == "__main__":
    main()