Lichess Model Context Protocol integration - interact with Lichess API through natural language
Lichess Model Context Protocol integration - interact with Lichess API through natural language
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.
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{
"mcpServers": {
"lichess": {
"command": "lichess-mcp",
"env": {
"LICHESS_TOKEN": "YOUR_LICHESS_TOKEN",
"DEBUG": "*"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| LICHESS_TOKEN | Declared in the maintainer’s client configuration. | Check documentation |
| DEBUG | Declared in the maintainer’s client configuration. | Check documentation |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Read markdown with inlined images and index headings for agentic RAG workflows.
Literature search, GB/T 7714/APA citations and BibTeX via Crossref, OpenAlex, Semantic Scholar.
If you need notebook/runtime tools, compose this server with `jupyter-mcp-server` using [mcp-compose](https://github.com/datalayer/mcp-compose).
Read and verify Content Credentials (C2PA) from images and media using the c2pa Rust SDK