MCP SSE Launcher
A Python management system for MCP servers that wraps stdio-based servers as SSE endpoints and includes a web inspector for testing.
MCP SSE Launcher
A Python-based management system for Model Context Protocol (MCP) servers that automatically wraps stdio-based servers with Supergateway to expose them as SSE endpoints, plus provides a web-based inspector for testing.
Key Features
- Auto-update - keeps MCP servers up-to-date automatically
- Background monitoring - restarts crashed servers automatically
- Web inspector - debug and test MCP servers via browser
- SSE conversion - wraps stdio servers for HTTP/SSE access
- AI assistant integration - works with Cursor, Claude Desktop, etc.
Quick Start
# 1. Install dependencies
pip install -r requirements.txt
# 2. Set up environment (copy .env.example to .env and add API keys)
cp .env.example .env
# 3. Start all MCP servers (with auto-restart)
make run-servers
# 4. Start web inspector for debugging
make run-inspector
# 5. View inspector at the URL shown in the output
Common Use Cases
Debug a specific MCP server
# Start inspector (will show URL with auth token)
make run-inspector
# Visit the URL shown in output to test MCP servers
Add a new MCP server
# Add GitHub MCP server
python mcp_servers.py add \
--name github \
--cmd npx \
--args "-y @modelcontextprotocol/server-github" \
--env GITHUB_TOKEN=your_token_here \
--port 8094
Use with Cursor AI
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"filesystem": { "url": "http://localhost:8090/sse" },
"github": { "url": "http://localhost:8094/sse" },
"brave-search": { "url": "http://localhost:8096/sse" }
}
}
Restart a problematic server
# Kill conflicts and restart specific server
make restart-server SERVER=github
Run without auto-restart (for development)
make run-servers KEEP_ALIVE=0
What Happens Automatically
- Updates: npm packages and git repos are checked/updated before starting
- Port conflicts: conflicting processes are detected and can be killed
- Process monitoring: crashed servers restart up to 3 times
- Logging: each server logs to
/tmp/<server_name>.log - Cleanup: all processes are properly terminated on exit
Available MCP Servers
The default config includes popular servers like:
- filesystem (8090) - local file access
- github (8094) - GitHub repository interaction
- brave-search (8096) - web search
- fetch (8093) - HTTP requests
- youtube (8092) - YouTube search/info
- memory (8100) - persistent memory
- puppeteer (8101) - web automation
Troubleshooting
# Check what's using server ports
make check-server-ports
# Kill conflicting processes on server ports
make kill-server-conflicts
# Stop servers (inspector stops with Ctrl+C)
make stop-servers
# View server logs
tail -f /tmp/filesystem.log
Configuration
Servers are defined in mcp_config.json. Environment variables use ${VAR} syntax and are loaded from .env.
Example server config:
{
"name": "github",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {"GITHUB_TOKEN": "${GITHUB_TOKEN}"},
"port": 8094,
"server_type": "stdio"
}
Похожие серверы
Alpha Vantage MCP Server
спонсорAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
MCP Server
Automate data science stages using your own CSV data files.
CAD-MCP
Control CAD software with natural language instructions to perform drawing operations.
Imagen3-MCP
Generate images using Google's Imagen 3.0 model via the Gemini API.
Midjourney MCP
An MCP server for generating images with the Midjourney API.
MCP ZAP Server
Exposes OWASP ZAP as an MCP server, enabling AI agents to orchestrate security scans, import OpenAPI specs, and generate reports.
GitHub MCP Server
Repository analysis, issues, pull requests, and code structure exploration
Dify MCP HTTP Tools
Fetch and call tools via MCP over HTTP with SSE or Streamable transport. Supports configuration of multiple MCP services.
mcp-of-mcps
MCP of MCPs is a meta-server that merges all your MCP servers into a single smart endpoint. It gives AI agents instant tool discovery, selective schema loading, and massively cheaper execution, so you stop wasting tokens and time. With persistent tool metadata, semantic search, and direct code execution between tools, it turns chaotic multi-server setups into a fast, efficient, hallucination-free workflow. It also automatically analyzes the tools output schemas if not exist and preserves them across sessions for consistent behavior.
Rainfall
200+ production tools for AI agents via Remote MCP. GitHub, Slack, Notion, Linear, Figma, Stripe, web search, OCR, document conversion, semantic memory/recall, Finviz, SEC filings, image generation, and more.
GhidraMCP
Enables LLMs to autonomously reverse engineer applications by exposing core Ghidra functionality.