Chess MCP

Chess MCP

A powerful chess engine and game server built with the Model Context Protocol (MCP). Play chess against AI, analyze positions, and integrate chess functionality into your AI applications.

Category
访问服务器

README

Chess MCP (Model Context Protocol)

A powerful chess engine and game server built with the Model Context Protocol (MCP). Play chess against AI, analyze positions, and integrate chess functionality into your AI applications.

🎯 Features

Core Chess Engine

  • Full Chess Rules: Complete implementation of all chess rules including castling, en passant, and pawn promotion
  • Move Validation: Automatic validation of all chess moves
  • Game State Tracking: Track check, checkmate, stalemate, and draw conditions
  • Move History: Complete move history with algebraic notation

Multiple Game Modes

  • Human vs Human: Classic two-player chess
  • Human vs AI: Play against computer with adjustable difficulty (1-5 levels)
  • AI vs AI: Watch AI play against itself

Advanced AI Features

  • Smart AI Engine: Minimax algorithm with alpha-beta pruning
  • Transposition Tables: 2-5x performance improvement through position caching
  • Iterative Deepening: Progressive depth search with optimal time management
  • Memory Optimization: LRU eviction and controlled memory usage
  • 5 Difficulty Levels: From beginner (random) to expert (depth 8)
  • Automatic Play: AI responds automatically in human-vs-ai mode
  • Manual Control: Use ai command for manual AI moves
  • Position Analysis: AI can analyze positions and suggest best moves

Advanced Features

  • Position Analysis: Analyze positions and get best move suggestions
  • FEN Support: Load and save positions using FEN notation
  • PGN Support: Import and export games in PGN format
  • Move Undo: Undo moves to explore variations
  • Legal Move Display: Show all legal moves for any position

Beautiful UI

  • ASCII Chess Board: Clean, readable board representation with Unicode chess pieces
  • Color-coded Output: Different colors for different types of information
  • Interactive Commands: Easy-to-use command system
  • Real-time Status: Live game status updates

🚀 Installation

Prerequisites

  • Node.js 18+
  • npm or yarn

Setup

# Clone the repository
git clone <repository-url>
cd Chess-MCP

# Install dependencies
npm install

# No build step needed - uses tsx for direct TypeScript execution

📖 Usage

Interactive CLI Mode (Recommended for Playing)

Start playing chess immediately:

# Start the interactive chess interface
npm run cli

# You'll see the chess prompt: chess>
# Type 'help' to see all available commands

As an MCP Server

The chess MCP can be integrated into any MCP-compatible client:

# Run the MCP server directly with tsx
npx tsx src/index.ts

# Or use the npm script
npm start

📚 Documentation

For detailed documentation, see the docs folder:

🎮 Available Commands

Basic Game Commands

  • move <move> - Make a move (e.g., move e2e4, move Nf3)
  • board - Display the current board
  • status - Show game status
  • history - Show move history
  • undo - Undo the last move
  • reset - Reset to starting position

Analysis Commands

  • moves <square> - Show legal moves for a square (e.g., moves e2)
  • all-moves - Show all legal moves
  • analyze [depth] - Analyze position (default depth: 3)

Game Mode Commands

  • mode <type> [ai-level] - Set game mode:
    • mode human-vs-human - Two human players
    • mode human-vs-ai 3 - Play against AI (level 1-5)
    • mode ai-vs-ai 5 - Watch AI play against itself
  • ai - Make AI play a move (for manual control)

Import/Export Commands

  • fen <position> - Load position from FEN
  • pgn <game> - Load game from PGN
  • save - Save current game to PGN

🔧 MCP Tools

The chess MCP provides the following tools for AI integration:

Game Management

  • start_new_game - Start a new game with specified mode
  • reset_game - Reset to starting position
  • get_game_status - Get current game status

Move Operations

  • make_move - Make a chess move
  • get_legal_moves - Get legal moves for a square or all pieces
  • undo_move - Undo the last move

Board and Analysis

  • get_board_state - Get current board state
  • analyze_position - Analyze position and suggest moves
  • get_move_history - Get complete move history

AI Features

  • ai_move - Make AI play a move
  • load_position - Load position from FEN
  • save_game - Save game to PGN
  • load_game - Load game from PGN

🎯 Example Usage

Playing Against AI

Quick Start:

# Start the interactive CLI
npm run cli

# Set up Human vs AI (Level 2 - moderate difficulty)
chess> mode human-vs-ai 2

# Make your first move
chess> move e2e4
# AI automatically responds!

# Continue playing
chess> move g1f3
# AI automatically responds!

# Check the board
chess> board

# See game status
chess> status

AI Difficulty Levels:

  • Level 1: Random moves (perfect for beginners)
  • Level 2: Basic strategy (good for casual play)
  • Level 3: Moderate difficulty (challenging)
  • Level 4: Advanced strategy (very challenging)
  • Level 5: Expert level (extremely challenging)

Manual AI Control:

# Set mode but control when AI plays
chess> mode human-vs-ai 3
chess> move e2e4
chess> ai  # Tell AI to play now
chess> move g1f3
chess> ai  # Tell AI to play again

Watch AI vs AI:

chess> mode ai-vs-ai 3
chess> ai  # First AI move
chess> ai  # Second AI move
chess> ai  # Continue watching...

Starting a Game

chess> mode human-vs-ai 3
Game mode set to: human-vs-ai (AI level: 3)

chess> move e2e4
Move e2e4 made successfully!

  Chess Board
    a b c d e f g h
  ┌─────────────────┐
 8│ ♜ ♞ ♝ ♛ ♚ ♝ ♞ ♜ │ 8
 7│ ♟ ♟ ♟ ♟ ♟ ♟ ♟ ♟ │ 7
 6│ · · · · · · · · │ 6
 5│ · · · · · · · · │ 5
 4│ · · · · ♙ · · · │ 4
 3│ · · · · · · · · │ 3
 2│ ♙ ♙ ♙ ♙ · ♙ ♙ ♙ │ 2
 1│ ♖ ♘ ♗ ♕ ♔ ♗ ♘ ♖ │ 1
  └─────────────────┘
    a b c d e f g h

Current turn: Black

AI played: e7e5

Analyzing a Position

chess> analyze 4
Position Analysis (Depth: 4):
Evaluation: +0.3

Best moves:
1. Nf3
2. Nc3
3. d4

Getting Legal Moves

chess> moves e2
Legal moves for e2:
1. e3
2. e4

🏗️ Architecture

The chess MCP is built with a modular architecture:

  • ChessEngine: Core chess logic using chess.js
  • ChessUI: User interface and display logic
  • ChessAI: AI opponent with minimax algorithm
  • ChessMCPServer: MCP protocol implementation
  • InteractiveCLI: Local testing interface

🎨 User Experience Tips

Making it Cooler from a User Perspective

  1. Visual Appeal

    • Beautiful Unicode chess pieces
    • Color-coded output for different information types
    • Clean, readable board layout
  2. Ease of Use

    • Simple, intuitive commands
    • Helpful error messages
    • Auto-completion suggestions
  3. Advanced Features

    • Position analysis with evaluation scores
    • Multiple AI difficulty levels
    • Game import/export capabilities
  4. Interactive Elements

    • Real-time game status updates
    • Move validation with helpful feedback
    • Undo functionality for exploration
  5. Educational Value

    • Legal move highlighting
    • Position analysis explanations
    • Move history tracking

🔮 Future Enhancements

  • Web Interface: Browser-based chess interface
  • Opening Database: Built-in opening book
  • Endgame Tablebases: Perfect endgame play
  • Network Play: Multiplayer over network
  • Tournament Mode: Round-robin tournaments
  • Puzzle Mode: Chess puzzles and tactics
  • Voice Commands: Voice-controlled chess
  • Mobile App: iOS/Android chess app

🤝 Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

🔧 Troubleshooting

Common Issues

"Command not found: npm"

  • Make sure Node.js is installed: node --version
  • Install Node.js from nodejs.org

"Cannot find module" errors

  • Run npm install to install dependencies
  • Run npm run build to compile TypeScript

Interactive CLI not starting

  • Use npm run cli (not npm run dev)
  • Make sure you're in the Chess-MCP directory

AI not responding

  • Check game mode: mode human-vs-ai 2
  • In human-vs-ai mode, AI responds automatically
  • Use ai command for manual AI moves

Move not working

  • Check legal moves: moves <square>
  • Use correct format: move e2e4 or move Nf3
  • Check game status: status

Getting Help

  • Type help in the chess CLI for command list
  • Use status to see current game state
  • Use moves <square> to see legal moves
  • Use undo if you make a mistake

Happy Chess Playing! ♔♕♖♗♘♙

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选