chess-uci-mcp

# chess-uci-mcp An MCP bridge that provides an interface to UCI chess engines (such as Stockfish). ## Dependencies You need to have Python 3.10 or newer, and also `uv`/`uvx` installed. ## Usage To function, it requires an installed UCI-compatible chess engine, like Stockfish (has been tested with Stockfish 17). In case of Stockfish, you can download it from https://stockfishchess.org/download/. On macOS, you can use `brew install stockfish`. You need to find out the path to your UCI-capable engine binary; for further example configuration, the path is e.g. `/usr/local/bin/stockfish` (which is default for Stockfish installed on macOS using Brew). The further configuration should be done in your MCP setup; for Claude Desktop, this is the file `claude_desktop_config.json` (find it in **Settings** menu, **Developer**, then **Edit Config**). The full path on different OSes * macOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json` * Windows: `%APPDATA%/Claude/claude_desktop_config.json` * Linux: `~/.config/Claude/claude_desktop_config.json` Add the following settings to your MCP configuration (depending on the way to run it you prefer): ### Uvx (recommended) Uvx is able to directly run the Python application by its name, ensuring all the dependencies, in a automatically-created virtual environment. This is the preferred way to run the `chess-uci-mcp` bridge. Set up your MCP server configuration (e.g. Claude Desktop configuration) file as following: ```json "mcpServers": { "chess-uci-mcp": { "command": "uvx", "args": ["chess-uci-mcp@latest", "/usr/local/bin/stockfish"] } } ``` To pass options to the engine, add them to the `args` array. For example, to set the `Threads` and `Hash` options for Stockfish: ```json "mcpServers": { "chess-uci-mcp": { "command": "uvx", "args": [ "chess-uci-mcp@latest", "/usr/local/bin/stockfish", "-o", "Threads", "4", "-o", "Hash", "128" ] } } ``` ### Uv Use it if you have the repository cloned locally and run from it: ```json "mcpServers": { "chess-uci-mcp": { "command": "uv", "args": ["run", "chess-uci-mcp", "/usr/local/bin/stockfish"] } } ``` Similarly, to pass options when running with `uv`: ```json "mcpServers": { "chess-uci-mcp": { "command": "uv", "args": [ "run", "chess-uci-mcp", "/usr/local/bin/stockfish", "-o", "Threads", "4", "-o", "Hash", "128" ] } } ``` ## Command-line Options The application accepts the following command-line options: * `ENGINE_PATH`: (Required) The path to the UCI-compatible chess engine executable. * `--uci-option` or `-o`: Set a UCI option. This option can be used multiple times. It takes two arguments: the option name and its value (e.g., `-o Threads 4`). * `--think-time`: The default thinking time for the engine in milliseconds. Defaults to `1000`. * `--debug`: Enable debug logging. ## Available MCP Commands The bridge provides the following MCP commands: 1. `analyze` - Analyze a chess position specified by FEN string 2. `get_best_move` - Get the best move for a chess position 3. `set_position` - Set the current chess position 4. `engine_info` - Get information about the chess engine ## Development ```bash # Clone the repository git clone https://github.com/AnglerfishChess/chess-uci-mcp.git # ... or # git clone git@github.com:AnglerfishChess/chess-uci-mcp.git cd chess-uci-mcp # Create a virtual environment uv venv --python python3.10 # Activate the virtual environment source .venv/bin/activate # On Unix/macOS # or .venv\Scripts\activate # On Windows # Install the package in development mode # uv pip install -e . # or, with development dependencies uv pip install -e ".[dev]" # Resync the packages: uv sync --extra=dev # Run tests pytest # Check code style ruff check ``` ### Release process ```bash uv build uv-publish ``` ## Related sites [Certified by MCP Review](https://mcpreview.com/mcp-servers/anglerfishchess/chess-uci-mcp)