CyberStrikeAI/mcp-servers

MCP Servers

中文

This directory contains standalone MCP (Model Context Protocol) servers. They speak the standard MCP protocol over stdio (or HTTP/SSE when a server supports it), so any MCP client can use them—not only CyberStrikeAI, but also Cursor, VS Code (with an MCP extension), Claude Code, and other clients that support MCP.

We will keep adding useful MCP servers here. New servers will cover security testing, automation, and integration scenarios. Stay tuned for updates.

Available servers

Server	Description
reverse_shell	Reverse shell listener: start/stop listener, send commands to connected targets, full interactive workflow.

How to use

These MCPs are configured per client. Use absolute paths for command and args when using stdio.

CyberStrikeAI

1. Open Web UI → Settings → External MCP.
2. Add a new external MCP and fill in the JSON config (see each server’s README for the exact config).
3. Save and click Start; the tools will appear in conversations.

Cursor

Add the server to Cursor’s MCP config (e.g. Settings → Tools & MCP → Add Custom MCP, or edit ~/.cursor/mcp.json / project .cursor/mcp.json). Example for a stdio server:

{
  "mcpServers": {
    "reverse-shell": {
      "command": "/absolute/path/to/venv/bin/python3",
      "args": ["/absolute/path/to/CyberStrikeAI-main/mcp-servers/reverse_shell/mcp_reverse_shell.py"]
    }
  }
}

Replace the paths with your actual paths. Cursor will spawn the process and talk MCP over stdio.

VS Code (MCP extension) / Claude Code / other clients

Configure the client to run the server via stdio: set the command to your Python executable and args to the script path (see each server’s README). The client will launch the process and communicate over stdin/stdout. Refer to your client’s docs for where to put the config (e.g. .mcp.json, ~/.claude.json, or the extension’s settings).

Requirements

• Python 3.10+ for Python-based servers.
• Use the project’s venv when possible: e.g. venv/bin/python3 and the script under mcp-servers/.