Do I need an API key to use Chess.com MCP Server?
No, it uses Chess.com's free Published Data API which requires no authentication.
@pab1it0
Basic information
A Model Context Protocol server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"chess-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server for Chess.com's Published Data API. It provides access to player profiles, game records, and other public chess information through standardized MCP interfaces, allowing AI assistants to search and analyze chess data.
Run the server via Docker (recommended) or directly with UV. Configure your MCP client (e.g., Claude Desktop) to use the server by editing its config file with the appropriate command and arguments. No authentication is required.
No, it uses Chess.com's free Published Data API which requires no authentication.
The easiest way is via Docker: add a configuration entry in your MCP client's config file using `docker run --rm -i pab1it0/chess-mcp`. Alternatively, run it with UV using `uv run src/chess_mcp/main.py`.
Tools include get_player_profile, get_player_stats, is_player_online, get_titled_players, get_player_current_games, get_player_games_by_month, get_player_game_archives, download_player_games_pgn, get_club_profile, and get_club_members.
Yes, the list of tools is configurable, so you can choose which tools to expose to the MCP client.
It uses Python and the `uv` package manager for development. For production, Docker is recommended to avoid dependency issues. The server communicates over standard MCP transports (stdio).
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