Sponsored by Deepsite.site

Lichess MCP

Created By
karayamana year ago
A Model Context Protocol (MCP) server that enables Claude Desktop to interact with Lichess chess platform through natural language. Play games, analyze positions, manage your account, and participate in tournaments—all by simply talking to Claude.
Content

Lichess MCP

smithery badge

Speak to Lichess in natural language to interact with the chess platform. Use it with Claude Desktop to play games, analyze positions, and manage your chess activities.

Built using the Model Context Protocol.

Lichess MCP server

The server enables:

  • Managing your Lichess account
  • Playing chess games and challenges
  • Analyzing positions and games
  • Joining tournaments and teams
  • Interacting with other players

Configuration

The Lichess API token can be set in two ways:

  1. Environment variables: Add it to your .env file in the project root or set it directly:

    LICHESS_TOKEN=your-lichess-api-token
    
  2. Using the set_token tool during runtime:

    set_token({
      token: "your-lichess-api-token"
    });
    

The token can be generated at https://lichess.org/account/oauth/token

Available Tools

1. Account Management

// Set your Lichess API token
set_token({
  token: "your-lichess-api-token"
});

// Get your Lichess profile
get_my_profile();

// Get another user's profile
get_user_profile({
  username: "player_name",
  trophies: true  // include trophies, optional
});

2. Game Play

// Create a challenge against another player
create_challenge({
  username: "opponent_username",
  timeControl: "10+0",  // 10 minutes, no increment
  color: "random"       // or "white", "black"
});

// Make a move in a game
make_move({
  gameId: "abcd1234",
  move: "e2e4",
  offeringDraw: false
});

// Get your ongoing games
get_ongoing_games({
  nb: 10  // number of games to fetch
});

3. Game Analysis

// Export a game in PGN format
export_game({
  gameId: "abcd1234",
  clocks: true,
  evals: true
});

// Get cloud evaluation for a position
get_cloud_eval({
  fen: "rnbqkbnr/ppp1pppp/8/3p4/4P3/8/PPPP1PPP/RNBQKBNR w KQkq - 0 2"
});

4. Tournaments

// List current tournaments
get_arena_tournaments();

// Join a tournament
join_arena({
  tournamentId: "abc123"
});

// Create a new tournament
create_arena({
  name: "My Tournament",
  clockTime: 3,
  clockIncrement: 2,
  minutes: 45
});

Chess Notation

Move Formats

The Lichess API accepts moves in these formats:

  • UCI: Universal Chess Interface format (e.g., e2e4, g8f6)
  • SAN: Standard Algebraic Notation (e.g., e4, Nf6) - only for some endpoints

FEN Format

The Forsyth-Edwards Notation (FEN) is used to represent chess positions:

rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1

This represents:

  • Piece positions (from 8th rank to 1st rank)
  • Active color (w/b)
  • Castling availability (KQkq)
  • En passant target square
  • Halfmove clock
  • Fullmove number

Error Handling

The server provides detailed error messages for:

  • Invalid moves or positions
  • Authentication issues
  • Rate limits
  • Resource not found cases

Setup Instructions

Installing via Smithery

To install Lichess Integration for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @karayaman/lichess-mcp --client claude

Manual Installation

  1. Clone the repository:

    git clone https://github.com/karayaman/lichess-mcp.git
    cd lichess-mcp
    
  2. Install dependencies:

    npm install
    
  3. Configure environment variables: Create a .env file in the root directory:

    LICHESS_TOKEN=your-lichess-api-token
    
  4. Build the project:

    npm run build
    
  5. Install the package globally (recommended for Claude Desktop integration):

    npm install -g
    
  6. Start the server (for standalone usage):

    npm start
    

Configuring Claude Desktop

To use this MCP server with Claude Desktop:

  1. Locate your Claude Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/Claude/claude_desktop_config.json
  2. Add the Lichess MCP server to your configuration:

    {
      "mcpServers": {
        "lichess": {
          "command": "lichess-mcp",
          "env": {
            "LICHESS_TOKEN": "your-lichess-api-token",
            "DEBUG": "*"
          }
        }
      }
    }
    

    Note: Replace your-lichess-api-token with your actual Lichess API token. The DEBUG environment variable is optional but helpful for troubleshooting.

  3. (Optional) You can add other MCP servers as well:

    {
      "mcpServers": {
        "filesystem": {
          "command": "npx",
          "args": [
            "-y",
            "@modelcontextprotocol/server-filesystem",
            "/Users/username/Desktop",
            "/Users/username/Downloads"
          ]
        },
        "lichess": {
          "command": "lichess-mcp",
          "env": {
            "LICHESS_TOKEN": "your-lichess-api-token"
          }
        }
      }
    }
    
  4. Restart Claude Desktop to apply the changes.

    • Make sure to completely close Claude Desktop (including from the system tray/menu bar)
    • Launch Claude Desktop again
    • Look for a hammer icon in the interface, which indicates that MCP servers are connected
  5. Test the integration by asking Claude about your Lichess account:

    • "Show me my Lichess profile"
    • "Start a new chess game with 10 minutes time control"

Troubleshooting

If you encounter issues with the MCP server connection:

  1. Ensure you've installed the package globally with npm install -g
  2. Verify that the lichess-mcp command is available in your PATH (which lichess-mcp)
  3. Check that your configuration file has the correct format (the newer mcpServers format instead of mcp_servers)
  4. Restart Claude Desktop completely
  5. Try enabling Developer Mode in Claude Desktop (if available) for additional logging
  6. Verify your Lichess API token is valid

References

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Amap Maps高德地图官方 MCP Server
CursorThe AI Code Editor
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。
Playwright McpPlaywright MCP server
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
WindsurfThe new purpose-built IDE to harness magic
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Tavily Mcp
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Serper MCP ServerA Serper MCP Server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
ChatWiseThe second fastest AI chatbot™
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
DeepChatYour AI Partner on Desktop