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MCP Server Runner

by yonaka15

MCP Server Runner is a WebSocket server implementation for running Model Context Protocol (MCP) servers. It enables MCP servers to be accessed via WebSocket connections, facilitating integration with web applications and other network-enabled clients.

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What is MCP Server Runner?

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, and supports graceful shutdown and error handling.

How to use MCP Server Runner?

To use MCP Server Runner, you need Rust 1.70 or higher and an MCP server implementation executable. Configure the server using environment variables or a JSON configuration file, then run the application. Connect to the WebSocket server using a WebSocket client.

Key features of MCP Server Runner

  • 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)

Use cases of MCP Server Runner

  • Integrating MCP servers with web applications

  • Accessing MCP servers from network-enabled clients

  • Enabling real-time communication with MCP servers

  • Containerized deployment using Docker

FAQ from MCP Server Runner

Does MCP Server Runner support multiple client connections?

No, it currently supports only one client connection at a time.

Does MCP Server Runner support WebSocket SSL/TLS?

No, it does not support WebSocket SSL/TLS. Use a reverse proxy for secure connections.

Is there a built-in authentication mechanism?

No, there is no built-in authentication mechanism.

How do I configure the MCP server executable?

You can configure the MCP server executable using environment variables (PROGRAM, ARGS) or a JSON configuration file.

How do I contribute to the project?

Fork the repository, create your feature branch, commit your changes, push to the branch, and open a Pull Request.