Add example MCP Client and Server fpr SSE based transport.

This commit is contained in:
Hemang
2025-05-09 11:34:06 +05:30
parent edd9fd9a5c
commit 645d73fc66
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ANTHROPIC_API_KEY=<your key here>
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3.13
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# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.13-slim AS uv
# Set the working directory
WORKDIR /app
# Copy the necessary files
COPY pyproject.toml uv.lock ./
# Install the project's dependencies
RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev --no-editable
# Copy the rest of the application files
COPY . .
# Set environment variable for ANTHROPIC_API_KEY
# This can be overridden at runtime
ENV ANTHROPIC_API_KEY=your_api_key_here
# Expose the port that the server will run on
EXPOSE 8080
# Default command to run the server
CMD ["uv", "run", "weather.py"]
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# SSE-based Server and Client for [MCP](https://modelcontextprotocol.io/introduction)
An example MCP Server and Client for SSE-based transport.
## Install dependencies
```bash
pip install .
```
## Run the MCP Server
```bash
python weather.py
```
This will start the server.
## Run the MCP Client
```bash
python client.py
```
This will run the client, make a couple of tool calls and then exit.
You can modify the tool calls to test different scenarios.
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import asyncio
import json
import os
from typing import Optional
from contextlib import AsyncExitStack
from mcp import ClientSession
from mcp.client.sse import sse_client
from anthropic import Anthropic
from dotenv import load_dotenv
load_dotenv() # load environment variables from .env
class MCPClient:
def __init__(self):
# Initialize session and client objects
self.session: Optional[ClientSession] = None
self.exit_stack = AsyncExitStack()
self.anthropic = Anthropic()
async def connect_to_sse_server(
self, server_url: str, headers: Optional[dict] = None
):
"""Connect to an MCP server running with SSE transport"""
# Store the context managers so they stay alive
self._streams_context = sse_client(
url=server_url,
headers=headers or {},
)
streams = await self._streams_context.__aenter__()
self._session_context = ClientSession(*streams)
self.session: ClientSession = await self._session_context.__aenter__()
# Initialize
await self.session.initialize()
# List available tools to verify connection
print("Initialized SSE client...")
print("Listing tools...")
response = await self.session.list_tools()
tools = response.tools
print("\nConnected to server with tools:", [tool.name for tool in tools])
async def cleanup(self):
"""Properly clean up the session and streams"""
if self._session_context:
await self._session_context.__aexit__(None, None, None)
if self._streams_context:
await self._streams_context.__aexit__(None, None, None)
async def process_query(self, tool_name: str, tool_args: dict) -> str:
"""Process a query using MCP server"""
result = await self.session.call_tool(tool_name, tool_args)
return result
async def main():
client = MCPClient()
try:
await client.connect_to_sse_server(
server_url="http://localhost:8005/api/v1/gateway/mcp/sse",
headers={
"MCP-SERVER-BASE-URL": "http://localhost:8123",
"INVARIANT-PROJECT-NAME": "test-mcp-187eghb",
"PUSH-INVARIANT-EXPLORER": "true",
},
)
print("Hello world I have crossed connect_to_sse_server")
try:
result = await client.process_query(
tool_name="get_alerts",
tool_args={"state": "NY"},
)
print("Result 1: ", result, flush=True)
except Exception as e:
print("Error in processing queryyyyy: ", e, flush=True)
import traceback
traceback.print_exc()
result = await client.process_query(
tool_name="get_forecast",
tool_args={"latitude": 47.6062, "longitude": -122.3321},
)
print("Result 2: ", result, flush=True)
# result = await client.process_query(
# tool_name="get_alerts",
# tool_args={"state": "CA"},
# )
# print("Result 2: ", result, flush=True)
# result = await client.process_query(
# tool_name="get_alerts",
# tool_args={"state": "AZ"},
# )
# print("Result 3: ", result, flush=True)
# result = await client.process_query(
# tool_name="get_alerts",
# tool_args={"state": "AR"},
# )
# print("Result 4: ", result, flush=True)
except Exception as e:
print("Error in main: ", e, flush=True)
import traceback
traceback.print_exc()
finally:
await client.cleanup()
if __name__ == "__main__":
asyncio.run(main())
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[project]
name = "mcp-sse"
version = "0.1.0"
description = "SSE-based MCP Server and Client"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"argparse>=1.4.0",
"httpx>=0.28.1",
"mcp[cli]>=1.2.1",
"python-dotenv>=1.0.1",
]
[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["client", "weather"]
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# Smithery configuration file: https://smithery.ai/docs/config#smitheryyaml
startCommand:
type: stdio
configSchema:
# JSON Schema defining the configuration options for the MCP.
type: object
required:
- anthropicApiKey
properties:
anthropicApiKey:
type: string
description: The API key for accessing the Anthropic services.
commandFunction:
# A function that produces the CLI command to start the MCP on stdio.
|-
(config) => ({command: 'uv', args: ['run', 'weather.py'], env: {ANTHROPIC_API_KEY: config.anthropicApiKey}})
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from typing import Any
import httpx
from mcp.server.fastmcp import FastMCP
from starlette.applications import Starlette
from mcp.server.sse import SseServerTransport
from starlette.requests import Request
from starlette.routing import Mount, Route
from mcp.server import Server
import uvicorn
# Initialize FastMCP server for Weather tools (SSE)
mcp = FastMCP("weather")
# Constants
NWS_API_BASE = "https://api.weather.gov"
USER_AGENT = "weather-app/1.0"
async def make_nws_request(url: str) -> dict[str, Any] | None:
"""Make a request to the NWS API with proper error handling."""
headers = {
"User-Agent": USER_AGENT,
"Accept": "application/geo+json"
}
async with httpx.AsyncClient() as client:
try:
response = await client.get(url, headers=headers, timeout=30.0)
response.raise_for_status()
return response.json()
except Exception:
return None
def format_alert(feature: dict) -> str:
"""Format an alert feature into a readable string."""
props = feature["properties"]
return f"""
Event: {props.get('event', 'Unknown')}
Area: {props.get('areaDesc', 'Unknown')}
Severity: {props.get('severity', 'Unknown')}
Description: {props.get('description', 'No description available')}
Instructions: {props.get('instruction', 'No specific instructions provided')}
"""
@mcp.tool()
async def get_alerts(state: str) -> str:
"""Get weather alerts for a US state.
Args:
state: Two-letter US state code (e.g. CA, NY)
"""
url = f"{NWS_API_BASE}/alerts/active/area/{state}"
data = await make_nws_request(url)
if not data or "features" not in data:
return "Unable to fetch alerts or no alerts found."
if not data["features"]:
return "No active alerts for this state."
alerts = [format_alert(feature) for feature in data["features"]]
return "\n---\n".join(alerts)
@mcp.tool()
async def get_forecast(latitude: float, longitude: float) -> str:
"""Get weather forecast for a location.
Args:
latitude: Latitude of the location
longitude: Longitude of the location
"""
# First get the forecast grid endpoint
points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}"
points_data = await make_nws_request(points_url)
if not points_data:
return "Unable to fetch forecast data for this location."
# Get the forecast URL from the points response
forecast_url = points_data["properties"]["forecast"]
forecast_data = await make_nws_request(forecast_url)
if not forecast_data:
return "Unable to fetch detailed forecast."
# Format the periods into a readable forecast
periods = forecast_data["properties"]["periods"]
forecasts = []
for period in periods[:5]: # Only show next 5 periods
forecast = f"""
{period['name']}:
Temperature: {period['temperature']}°{period['temperatureUnit']}
Wind: {period['windSpeed']} {period['windDirection']}
Forecast: {period['detailedForecast']}
"""
forecasts.append(forecast)
return "\n---\n".join(forecasts)
def create_starlette_app(mcp_server: Server, *, debug: bool = False) -> Starlette:
"""Create a Starlette application that can server the provied mcp server with SSE."""
sse = SseServerTransport("/messages/")
async def handle_sse(request: Request) -> None:
async with sse.connect_sse(
request.scope,
request.receive,
request._send, # noqa: SLF001
) as (read_stream, write_stream):
await mcp_server.run(
read_stream,
write_stream,
mcp_server.create_initialization_options(),
)
return Starlette(
debug=debug,
routes=[
Route("/sse", endpoint=handle_sse),
Mount("/messages/", app=sse.handle_post_message),
],
)
if __name__ == "__main__":
mcp_server = mcp._mcp_server # noqa: WPS437
import argparse
parser = argparse.ArgumentParser(description='Run MCP SSE-based server')
parser.add_argument('--host', default='localhost', help='Host to bind to')
parser.add_argument('--port', type=int, default=8123, help='Port to listen on')
args = parser.parse_args()
# Bind SSE request handling to MCP server
starlette_app = create_starlette_app(mcp_server, debug=True)
uvicorn.run(starlette_app, host=args.host, port=args.port)