Server detail
The mcp-stockfish server bridges the gap between LLMs and the Stockfish engine, allowing AI models to perform precise chess analysis and move validation. Instead of relying on the model's probabilistic understanding of board states—which often leads to illegal moves in complex positions—this tool provides a deterministic source of truth. Developers can integrate it to build chess coaching apps, automated game analysis tools, or sophisticated bots that combine LLM natural language reasoning with grandmaster-level engine calculations. It abstracts the engine's UCI protocol into a standardized MCP interface, making it trivial to plug Stockfish's evaluation capabilities into any MCP-compliant client across Windows, macOS, or Linux.
An MCP server that exposes sonirico/mcp-stockfish capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
sonirico-mcp-stockfish
Call the MCP capabilities provided by sonirico/mcp-stockfish and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"sonirico/mcp-stockfish": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page