Fire in da houseTop Tip:Paying $100+ per month for Perplexity, MidJourney, Runway, ChatGPT and other tools is crazy - get all your AI tools in one site starting at $15 per month with Galaxy AI Fire in da houseCheck it out free

mcp-server-runner

MCP.Pizza Chef: yonaka15

MCP Server Runner is a WebSocket server implementation designed to run Model Context Protocol (MCP) servers, enabling them to be accessed via WebSocket connections. This facilitates seamless integration of MCP servers with web applications and other network-enabled clients by managing WebSocket connections and bidirectional communication. Acting as a bridge, it launches MCP server processes and handles real-time data exchange, making it ideal for developers building interactive AI-enhanced workflows and agents that require live context updates. Currently under active development, MCP Server Runner is evolving with ongoing testing and documentation improvements.

Use This MCP server To

Enable real-time MCP server access via WebSocket Integrate MCP servers with web applications Facilitate bidirectional communication for AI agents Manage MCP server processes remotely Support network-enabled client connections to MCP servers

README

MCP Server Runner

Note: This project is currently under active development and in WIP (Work In Progress) status. Features and APIs may change significantly.

A WebSocket server implementation for running Model Context Protocol (MCP) servers. This application enables MCP servers to be accessed via WebSocket connections, facilitating integration with web applications and other network-enabled clients.

Development Status

  • 🚧 Work In Progress: This software is in active development
  • ⚠️ API Stability: APIs and features may change without notice
  • 🧪 Testing: Currently undergoing testing and refinement
  • 📝 Documentation: Documentation is being actively updated

Overview

MCP Server Runner acts as a bridge between WebSocket clients and MCP server implementations. It:

  • Launches an MCP server process
  • Manages WebSocket connections
  • Handles bidirectional communication between clients and the MCP server
  • Supports graceful shutdown and error handling

Features

  • WebSocket server implementation with single-client support
  • Process management for MCP server instances
  • Bidirectional message passing between client and server
  • Graceful shutdown handling
  • Comprehensive error logging
  • Cross-platform support (Unix/Windows)

Prerequisites

  • Rust 1.70 or higher
  • An MCP server implementation executable

Configuration

Environment Variables

The application can be configured through environment variables:

PROGRAM=        # Path to the MCP server executable (required if no config file)
ARGS=           # Comma-separated list of arguments for the MCP server
HOST=0.0.0.0    # Host address to bind to (default: 0.0.0.0)
PORT=8080       # Port to listen on (default: 8080)
CONFIG_FILE=    # Path to JSON configuration file

Additional environment variables will be passed through to the MCP server process.

JSON Configuration

Alternatively, you can provide a JSON configuration file:

{
  "servers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/workspace"
      ]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your_token_here"
      }
    }
  },
  "default_server": "filesystem",
  "host": "0.0.0.0",
  "port": 8080
}

You can specify the configuration file in two ways:

  1. As a command-line argument: mcp-server-runner config.json
  2. Using the CONFIG_FILE environment variable: CONFIG_FILE=config.json mcp-server-runner

The JSON configuration allows you to define multiple server configurations and select one as the default.

Configuration Priority

  1. Command-line specified config file
  2. CONFIG_FILE environment variable
  3. Environment variables (PROGRAM, ARGS, etc.)
  4. Default values

Usage

  1. Using environment variables:

    export PROGRAM=npx
    export ARGS=-y,@modelcontextprotocol/server-github
    export PORT=8080
    export GITHUB_PERSONAL_ACCESS_TOKEN=github_pat_***
    cargo run
  2. Using a configuration file:

    # Either specify the config file as an argument
    cargo run config.json
    
    # Or use the CONFIG_FILE environment variable
    CONFIG_FILE=config.json cargo run
  3. Connect to the WebSocket server:

    const ws = new WebSocket("ws://localhost:8080");

Docker Support

A Dockerfile and docker-compose.yml are provided for containerized deployment:

docker-compose up --build

Development

Build the project:

cargo build

Run tests:

cargo test

Run with debug logging:

RUST_LOG=debug cargo run

Architecture

The application follows a modular architecture:

  • main.rs: Application entry point and server setup
  • config/: Configuration loading and management
  • process/: Process management and I/O handling
  • websocket/: WebSocket connection management
  • state.rs: Global state management
  • shutdown.rs: Graceful shutdown handling

Error Handling

  • Standard error output from the MCP server is logged but not forwarded to clients
  • WebSocket connection errors are handled gracefully
  • Process errors are logged with detailed information

Limitations

  • Supports only one client connection at a time
  • Does not support WebSocket SSL/TLS (use a reverse proxy for secure connections)
  • No built-in authentication mechanism

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Additional Resources

mcp-server-runner FAQ

How do I start the MCP Server Runner?
You launch the MCP Server Runner by running its executable or script, which initializes the WebSocket server and MCP server process. Refer to the documentation for specific commands.
Can MCP Server Runner handle multiple simultaneous WebSocket clients?
Yes, it manages multiple WebSocket connections, allowing concurrent clients to interact with the MCP server.
Is the MCP Server Runner API stable?
No, the API is currently in active development and may change without notice as the project is a work in progress.
How does MCP Server Runner communicate with MCP servers?
It launches MCP server processes and facilitates bidirectional communication over WebSocket connections between clients and the MCP server.
What platforms does MCP Server Runner support?
It is designed to be platform-agnostic but primarily targets environments that support WebSocket servers, such as Linux, macOS, and Windows.
Is there documentation available for MCP Server Runner?
Yes, documentation is actively being updated alongside the project development to assist users with installation and usage.
Can MCP Server Runner be integrated with different LLM providers?
Yes, it supports MCP servers that can interface with various LLM providers like OpenAI, Anthropic Claude, and Google Gemini.
How secure is the communication over WebSocket in MCP Server Runner?
Security depends on the WebSocket implementation and deployment environment; users should implement TLS and authentication as needed.