mcp-stockfish

mcp-stockfish

A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon overlords.

Category
Visit Server

README

mcp-stockfish 🐟

A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon overlords.

Claude Desktop with mcp-stockfish

🧠⚡🖥️ Your LLM thinks, Stockfish calculates, you pretend you understand the resulting 15-move tactical sequence.

What is this?

This creates a bridge between AI systems and the Stockfish chess engine via the MCP protocol. It handles multiple concurrent sessions because your AI probably wants to analyze seventeen positions simultaneously while you're still figuring out why your knight is hanging.

Built on mark3labs/mcp-go. Because reinventing wheels is for people with too much time.

Features

  • 🔄 Concurrent Sessions: Run multiple Stockfish instances without your CPU crying
  • ⚡ Full UCI Support: All the commands you need, none of the ones you don't
  • 🎯 Actually Works: Unlike your last side project, this one has proper error handling
  • 📊 JSON Everything: Because apparently we can't just use plain text anymore
  • 🐳 Docker Ready: Containerized for when you inevitably break your local setup

Supported UCI Commands ♟️

Command Description
uci Initializes the engine in UCI mode
isready Checks if the engine is ready. Returns readyok
position startpos Sets up the board to the starting position
position fen [FEN] Sets up a position using FEN notation
go Starts the engine to compute the best move
go depth [n] Searches n plies deep. Example: go depth 10
go movetime [ms] Thinks for a fixed amount of time in milliseconds. Example: go movetime 1000
stop Stops current search
quit Closes the session

Quick Start

Installation

git clone https://github.com/sonirico/mcp-stockfish
cd mcp-stockfish
make install

Usage

# Default mode (stdio, because we're old school)
mcp-stockfish

# With custom Stockfish path (for the special snowflakes)
MCP_STOCKFISH_PATH=/your/special/stockfish mcp-stockfish

# HTTP mode (for the web-scale crowd)
MCP_STOCKFISH_SERVER_MODE=http mcp-stockfish

Configuration ⚙️

Environment Variables

Server Configuration

  • MCP_STOCKFISH_SERVER_MODE: "stdio" or "http" (default: "stdio")
  • MCP_STOCKFISH_HTTP_HOST: HTTP host (default: "localhost")
  • MCP_STOCKFISH_HTTP_PORT: HTTP port (default: 8080)

Stockfish 🐟 Configuration

  • MCP_STOCKFISH_PATH: Path to Stockfish binary (default: "stockfish")
  • MCP_STOCKFISH_MAX_SESSIONS: Max concurrent sessions (default: 10)
  • MCP_STOCKFISH_SESSION_TIMEOUT: Session timeout (default: "30m")
  • MCP_STOCKFISH_COMMAND_TIMEOUT: Command timeout (default: "30s")

Logging

  • MCP_STOCKFISH_LOG_LEVEL: debug, info, warn, error, fatal
  • MCP_STOCKFISH_LOG_FORMAT: json, console
  • MCP_STOCKFISH_LOG_OUTPUT: stdout, stderr

Tool Parameters

  • command: UCI command to execute
  • session_id: Session ID (optional, we'll make one up if you don't)

Response Format

{
  "status": "success|error", 
  "session_id": "some-uuid",
  "command": "what you asked for",
  "response": ["what stockfish said"],
  "error": "what went wrong (if anything)"
}

Session Management

Sessions do what you'd expect:

  • Spawn Stockfish processes on demand
  • Keep UCI state between commands
  • Clean up when you're done (or when they timeout)
  • Enforce limits so you don't fork-bomb yourself

Integration

Claude Desktop

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

Development

make deps     # Get dependencies
make build    # Build the thing
make test     # Run tests (when they exist)
make fmt      # Make it pretty

Credits 🐟

Powered by Stockfish, the chess engine that's stronger than both of us combined. Created by people who actually understand chess, unlike this wrapper.

Thanks to:

License

MIT - Do whatever you want, just don't blame me when it breaks.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured