MCP Stockfish Server

Example Use Cases

• 1

  Analyze multiple chess positions simultaneously using Stockfish.

• 2

  Integrate Stockfish chess engine capabilities via a standardized MCP protocol.

• 3

  JSON-formatted responses from Stockfish for easier parsing and processing.

Description

This server acts as a bridge between AI models and the Stockfish chess engine using the Model Context Protocol (MCP). It supports multiple concurrent sessions, full UCI command support, and provides JSON-formatted responses. The server is containerized with Docker support and can run in stdio or HTTP modes, making it flexible and accessible for various AI integration scenarios.