pab1ito/chess-mcp

Overview

A Model Context Protocol server that wraps Chess.com's Published Data API. It exposes player data, game records, and other public chess information through standardized MCP interfaces, enabling AI assistants to query and analyze chess data.

Best for

Best for
Developers building AI assistants that need to query public chess data from Chess.com

Use cases

• Retrieve a player's profile, stats, and recent games via natural language
• Search for game archives and analyze historical matches
• Integrate chess data into AI-driven coaching or analysis tools

How to use

Install

uv pip install -e .

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "chess": {\n      "command": "docker",\n      "args": [\n        "run",\n        "--rm",\n        "-i",\n        "pab1it0/chess-mcp"\n      ]\n    }\n  }\n}

Notes

A Model Context Protocol server that wraps Chess.com’s Published Data API. It exposes player data, game records, and other public chess information through standardized MCP interfaces, enabling AI assistants to query and analyze chess data.

74 stars on GitHub. Last updated 2025-11-15. Licensed MIT.

Use cases

• Retrieve a player’s profile, stats, and recent games via natural language
• Search for game archives and analyze historical matches
• Integrate chess data into AI-driven coaching or analysis tools

Pros

• Leverages the MCP standard for easy integration with AI assistants
• Provides structured access to Chess.com’s public data without scraping
• Lightweight Python implementation with clear API boundaries

Cons

• Limited to Chess.com’s published data; no real-time or private data
• Depends on the Chess.com API’s rate limits and availability
• Small community (74 stars) may mean slower updates or support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.