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  3. MCP Stockfish
MCP Stockfish logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:01:35 PM

MCP Stockfish

User RatingsBe the first to rate and review this MCP server!
View Repository15 GitHub StarsTotal stargazers on GitHub for the source repository (15 stars).Visit Website
chessstockfishgamingdeveloper-tools

Connects AI clients to Stockfish through MCP for UCI chess analysis with persistent, concurrent sessions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for sonirico/mcp-stockfish, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (2) Directory Badge Claim listing Alternatives🎮 More in Gaming

Overview

The sonirico/mcp-stockfish MCP server connects AI systems to the Stockfish chess engine through the Model Context Protocol. It exposes a command tool for sending UCI instructions and supports optional session IDs for maintaining engine state across commands. Sessions can run concurrently, with configurable limits and timeouts. Reach for it when an MCP client needs to analyze chess positions, search for moves, or control Stockfish using UCI.

Use cases

•Analyze a chess position from FEN
•Request the best move at a fixed search depth
•Run timed Stockfish searches
•Maintain multiple chess analysis sessions

Key features

•UCI command execution
•Persistent engine sessions
•Concurrent session support
•Configurable timeouts and limits
•Structured JSON responses
•Stdio and HTTP modes

Capabilities & Tool Schemas (2) ~23 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Stockfish.

command

UCI command to execute

session_id

Session ID (optional, we'll make one up if you don't)

How MCP Stockfish works

What sonirico/mcp-stockfish MCP server does

The sonirico/mcp-stockfish MCP server provides an MCP bridge to a locally available Stockfish chess engine. An AI client sends a UCI command through the exposed MCP tool, and the server returns Stockfish's response in a JSON object containing the status, session ID, original command, response lines, and any error details.

The tool accepts two parameters:

  • command: The UCI command to execute.
  • session_id: An optional identifier for an existing engine session. If omitted, the server creates one.

The server supports multiple concurrent sessions. Each session starts a Stockfish process when needed, preserves UCI state between commands, and is cleaned up when finished or when its timeout is reached.

How it works

The server launches Stockfish as a separate process and communicates with it using the Universal Chess Interface. Commands can initialize the engine, check readiness, set a starting position or FEN position, start a search, stop a search, or close a session.

Documented examples include uci, isready, position startpos, position fen [FEN], go, go depth [n], go movetime [ms], stop, and quit. Because the tool accepts a UCI command string, the engine interaction is stateful within each session rather than limited to one isolated request.

The default MCP transport is stdio. An HTTP server mode is also available through configuration, with host and port settings. The implementation uses the Go MCP SDK from mark3labs/mcp-go.

Setup and configuration

The repository's quick-start instructions clone the project, enter its directory, and run make install. After installation, start the executable with mcp-stockfish. Stockfish must be available as stockfish on the executable path unless MCP_STOCKFISH_PATH points to a different binary.

The sonirico/mcp-stockfish MCP server uses stdio by default. Set MCP_STOCKFISH_SERVER_MODE=http to select HTTP mode. HTTP host and port default to localhost and 8080 and can be changed with MCP_STOCKFISH_HTTP_HOST and MCP_STOCKFISH_HTTP_PORT.

Session behavior can be adjusted with MCP_STOCKFISH_MAX_SESSIONS, MCP_STOCKFISH_SESSION_TIMEOUT, and MCP_STOCKFISH_COMMAND_TIMEOUT. Logging supports configurable level, format, and output destination through the corresponding MCP_STOCKFISH_LOG_* variables.

Tools and capabilities

  • Send UCI commands to Stockfish.
  • Analyze the standard starting position or a position supplied in FEN notation.
  • Request searches by depth or by a fixed time in milliseconds.
  • Keep engine state across calls within a session.
  • Run several Stockfish sessions concurrently.
  • Return structured JSON results and errors.
  • Use stdio or configured HTTP server mode.

Limitations and notes

The server is a bridge around Stockfish; the README does not describe a separate chess notation, board-management, or move-validation API beyond the UCI command tool. Stockfish availability is therefore part of the local setup, and the binary path may need configuration.

The documented default session limit is 10, with a 30-minute session timeout and a 30-second command timeout. These settings may affect long-running or highly concurrent analysis workloads. The README shows Claude Desktop configuration, but does not provide compatibility details for other MCP clients.

The project is licensed under MIT. The sonirico/mcp-stockfish MCP server itself does not list API credentials or external authentication requirements.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
15
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Tools exposed
2
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Stockfish

Clone the repository, enter its directory, and run `make install`. Then start it with `mcp-stockfish`.

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Technical Specs & Signals

Category🎮Gaming
PricingFree
More technical detailsExpand â–¾
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars15
GitHub Star CountTotal stargazers on GitHub representing community popularity (15 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 29, 2025
43Quality signal: Fair · 43/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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