Which chess engines are supported?
Any engine that implements the UCI protocol. Stockfish (tested with version 17) is recommended; you can install it via `brew install stockfish` on macOS or download from stockfishchess.org.
@AnglerfishChess
基本情報
MCP server to connect to the chess engines using UCI protocol
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"chess-uci-mcp": {
"command": "uv",
"args": [
"venv",
"--python",
"python3.10"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
An MCP bridge that provides an interface to UCI chess engines (such as Stockfish) for use with MCP-compatible AI clients like Claude Desktop. It is intended for developers or chess enthusiasts who want to integrate chess analysis capabilities into LLM workflows.
Requires Python 3.10 or newer, uv/uvx, and a UCI-compatible chess engine binary (e.g., Stockfish). Configure it in your MCP client settings (e.g., claude_desktop_config.json) using either uvx (recommended) or uv commands, specifying the engine path and optional UCI options with -o. Run the server by launching the client; commands are invoked via MCP tools.
Any engine that implements the UCI protocol. Stockfish (tested with version 17) is recommended; you can install it via `brew install stockfish` on macOS or download from stockfishchess.org.
Use the `-o` flag followed by the option name and value (e.g., `-o Threads 4 -o Hash 128`) in the command arguments of your MCP configuration.
It provides `analyze` (analyze a FEN position), `get_best_move`, `set_position`, and `engine_info` (get engine information).
Yes. Use the `--think-time` command-line option, which sets the default thinking time in milliseconds (default: 1000).
You need `uv` or `uvx` installed. The server runs locally and does not require an internet connection or authentication.

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