国际象棋MCP服务器

这是一个基于模型上下文协议的国际象棋服务器,使AI代理能够实时可视化棋盘并执行落子,适用于与AI对弈、观看AI对战或进行人机交互式棋局。

  • by fritzprix
  • Python
  • 本地部署
  • 更新于
在 GitHub 查看 fritzprix/chess-mcp-server

使用说明

♟️ Chess MCP Server

Give your AI Agent eyes to see the board and hands to make the move.

This is not just a chess API. It's a Model Context Protocol (MCP) server designed to let Large Language Models (LLMs) like Claude play chess agentically.

Capable of visualizing the board in real-time HTML, understanding spatial relationships via Markdown, and challenging you with a hybrid difficulty engine (Levels 1-10)—or simply facilitating a game between you and your Agent.

🚀 Features

  • MCP-UI Support: Interactive HTML board embedded directly in the chat (where supported).
  • Hybrid AI Engine: Adjustable difficulty from "Random Blunderer" (Level 1) to "Minimax Master" (Level 10).
  • Agent vs. Agent: Let two AI personalities battle it out.
  • Web Dashboard: Automatically launches a local sidecar dashboard (http://localhost:8080) to monitor all active games.

🧰 Tools API

Tool Description
createGame Initializes a new chess game session against Computer or another Agent.
joinGame Joins an existing game using its Game ID.
finishTurn Submits a move in UCI format and optionally claims a win.
waitForNextTurn Long-polling tool that waits for the opponent's move.

For full specification, see docs/spec/tools.md.

📦 Installation

Prerequisites

1. Installation

You can install directly from PyPI:

pip install chess-mcp-server

2. Configure MCP Client

Add the following to your MCP Client configuration file (e.g., ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "chess": {
      "command": "uvx",
      "args": ["chess-mcp-server"]
    }
  }
}

Alternatively, using pip installation:

{
  "mcpServers": {
    "chess": {
      "command": "python",
      "args": ["-m", "src.mcp_server"]
    }
  }
}

🛠️ Development

If you want to modify the code:

  1. Clone & Setup
    git clone https://github.com/fritzprix/chess-mcp-server.git
    cd chess-mcp-server
    
    python -m venv .venv
    source .venv/bin/activate
    pip install -e .
    

🎮 How to Play

Once the server is connected, you can ask your Agent to start a game.

Start a Game

Ask: "Start a new chess game against the computer at level 5."

  • The Agent calls createGame.
  • Pro Tip: You can also ask "I want to play against YOU. Create a game where you are White."

Join an Existing Game

If you have a Game ID (e.g., from another agent), you can ask: "Join game [Game_ID]".

  • The Agent calls joinGame.

The Game Loop

  1. Your Move:
    • Interact with the HTML Board if shown. Drag your piece and click Confirm.
    • Or tell the Agent: "Move pawn to e4."
  2. Agent's Turn:
    • The Agent calls waitForNextTurn.
    • It sees the board (Markdown or HTML) and thinks about the move.
    • It calls finishTurn to submit its move.
  3. Checkmate:
    • If you deliver the final blow, you can check the "Claim Checkmate" box on the UI or tell the Agent "Checkmate!".

Dashboard

When the server starts, it will try to open http://localhost:8080. You can view the list of all active games and spectator views there.