sonirico/mcp-stockfish

Overview

An MCP server that exposes Stockfish chess engine functionality to AI systems. It allows AI agents to analyze positions, calculate best moves, and evaluate chess games through the Model Context Protocol. Built in Go, it provides a lightweight bridge between AI workflows and Stockfish's chess engine.

Best for

Best for
Developers adding chess capabilities to AI agents or chatbots

Use cases

• Integrate chess analysis into AI assistants
• Build automated chess game analysis tools
• Enable LLMs to play or analyze chess positions

How to use

Install

make install

Tools exposed

• mcp-stockfish

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "chess": {\n      "command": "mcp-stockfish",\n      "env": {\n        "MCP_STOCKFISH_LOG_LEVEL": "info"\n      }\n    }\n  }\n}

Notes

An MCP server that exposes Stockfish chess engine functionality to AI systems. It allows AI agents to analyze positions, calculate best moves, and evaluate chess games through the Model Context Protocol. Built in Go, it provides a lightweight bridge between AI workflows and Stockfish’s chess engine.

12 stars on GitHub. Last updated 2025-06-29. Licensed MIT.

Use cases

• Integrate chess analysis into AI assistants
• Build automated chess game analysis tools
• Enable LLMs to play or analyze chess positions

Pros

• Lightweight Go binary with minimal dependencies
• Uses standard MCP protocol for easy integration
• Open source with permissive license

Cons

• Requires Stockfish engine to be installed separately
• Small community and limited documentation (12 stars)
• Only supports chess, not other board games

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.