Chess MCP Server
Enables AI assistants to play chess against users, manage games, make moves, and visualize boards with Stockfish AI opponent.
README
Chess MCP Server
A Model Context Protocol (MCP) server that enables AI assistants to play chess against users. The server provides tools for managing chess games, making moves, evaluating positions, and visualizing the board.
Features
- Game Management: Create new games, get board state, visualize positions
- Move Validation: Validate moves before making them
- AI Opponent: Play against Stockfish chess engine
- Position Evaluation: Get engine evaluation of positions
- Move History: Track moves with undo functionality
- Board Visualization: ASCII art board representation
Requirements
- Python 3.11 or higher
- uv package manager
- Stockfish chess engine (included in
server/bin/stockfish/)
Installation
- Clone the repository:
git clone <repository-url>
cd chess-mcp
- Install dependencies and the package:
uv sync
This will:
- Create a virtual environment
- Install all dependencies (including
mcpandchess) - Install the package in editable mode
Running the Server
Using the Entry Point
After installation, you can run the server using:
uv run chess-mcp
Running as a Module
Alternatively, you can run it as a Python module:
uv run -m server.main
The server runs on stdio transport, which means it communicates via standard input/output. This is the standard way MCP servers interact with clients.
Configuration for MCP Clients
Claude Desktop
To use this server with Claude Desktop, add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"chess-game": {
"command": "uv",
"args": [
"run",
"chess-mcp"
],
"cwd": "/path/to/chess-mcp"
}
}
}
Replace /path/to/chess-mcp with the absolute path to this project directory.
Other MCP Clients
For other MCP clients, configure them to run:
uv run chess-mcp
Make sure the working directory is set to the project root.
Available Tools
The server provides the following MCP tools:
Game State
new_game_tool: Creates a new chess gameget_state_tool: Returns the current board state in FEN formatvisualize_board_tool: Returns an ASCII art visualization of the board
Moves
make_move_tool(move: str): Makes a move in UCI format (e.g., "e2e4")ai_make_move_tool: Makes a move using the AI opponentundo_move_tool: Undoes the last move
Validation
validate_move_tool(move: str): Validates if a move is legal
Analysis
evaluate_board_tool: Returns the engine's evaluation of the position in centipawns
Project Structure
appli/
├── server/
│ ├── main.py # MCP server entry point
│ ├── config.py # Configuration (paths, etc.)
│ ├── engine/ # Stockfish engine wrapper
│ ├── storage/ # File I/O and serialization
│ └── tools/ # MCP tool implementations
├── storage/ # Game state storage
│ ├── current_game.fen # Current board position
│ └── move_history.json # Move history for undo
├── tests/ # Test files for tools
├── pyproject.toml # Project configuration
└── README.md # This file
Storage
The server stores game state in the storage/ directory:
current_game.fen: Current board position in FEN notationmove_history.json: List of moves made (for undo functionality)
Development
Running Tests
Install test dependencies:
uv sync --extra dev
Run tests:
uv run pytest
Run tests with coverage:
uv run pytest --cov=server --cov-report=html
Adding New Tools
- Create a function in the appropriate
server/tools/module - Register it in
server/tools/registry.py - Add it to the
register_tools()function
Troubleshooting
Stockfish Not Found
If you get an error about Stockfish not being found:
- Check that
server/bin/stockfish/contains the appropriate binary for your platform - The server automatically detects your platform and selects the correct binary
- Supported: macOS (Intel/Apple Silicon), Linux, Windows
Import Errors
If you encounter import errors:
- Make sure you've run
uv syncto install the package - Verify you're in the project root directory
- Check that the virtual environment is activated
Acknowledgments
- Uses python-chess for chess logic
- Uses Stockfish chess engine
- Built with FastMCP for MCP server functionality
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