A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our
A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon
This creates a bridge between AI systems and the Stockfish chess engine via the MCP protocol. It handles multiple concurrent sessions because your AI probably wants to analyze seventeen positions simultaneously while you're still figuring out why your knight is hanging.
uci — Initializes the engine in UCI modeisready — Checks if the engine is ready. Returns readyokstop — Stops current searchquit — Closes the sessionCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| session_id | Session ID (optional, we'll make one up if you don't) |
{
"mcpServers": {
"chess": {
"command": "mcp-stockfish",
"env": {
"MCP_STOCKFISH_LOG_LEVEL": "info"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| MCP_STOCKFISH_LOG_LEVEL | Declared in the maintainer’s client configuration. | Check documentation |
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