ChessAgine (Stockfish)
FreeNot checkedIntegrates with Stockfish chess engine to provide deep positional analysis, strategic theme evaluation across material/mobility/space/king safety dimensions, an
About
Integrates with Stockfish chess engine to provide deep positional analysis, strategic theme evaluation across material/mobility/space/king safety dimensions, and natural language descriptions of chess positions for coaching and game analysis.
README
ChessAgine MCP is a Model Context Protocol server that gives LLMs deep chess awareness by exposing real-time board state, Stockfish analysis, opening databases, Lichess games, and neural engines including Maia2, Leela, and Elite Leela.
It also renders individual positions and full PGN games for in-depth visual analysis—enabling AI agents to reason about positions, evaluate variations, detect themes, explore game databases, and interact directly with chess engines.
Preview
Installation
ChessAgine MCP is aimed at chess players as much as developers — if you're not sure whether you have Node.js/npm installed, see the prerequisites note in install.md before picking an option below.
Option 1: Config File (Recommended, most reliable)
This is currently the most stable way to connect ChessAgine MCP to Claude Desktop.
Prerequisites
- Node.js 22+
- npm or yarn package manager
- Anthropic MCP Bundle CLI (npm install -g @anthropic-ai/mcpb)
Clone and Setup
git clone https://github.com/jalpp/chessagine-mcp.git
cd chessagine-mcp
npm install
npm run build
Configure Claude Desktop
MacOs
Add to ~/Library/Application Support/Claude/claude_desktop_config.json
Windows
Run (Get-AppxPackage *Claude*).PackageFamilyName to find the virtualized Claude Desktop folder
Add to %LOCALAPPDATA%\Packages\Claude_virtualized_folder\LocalCache\Roaming\Claude\claude_desktop_config.json
Linux
Add to ~/.config/Claude/claude_desktop_config.json
macOS/Linux:
{
"mcpServers": {
"chessagine-mcp": {
"command": "node",
"args": ["/absolute/path/to/chessagine-mcp/build/runner/stdio.js"],
"env": {
"LICHESS_API_TOKEN": "optional-your-lichess-api-token",
"CHESSBOARD_MAGIC_PAT": "optional-your-chessboardmagic-pat",
"POSIRA_API_KEY": "optional-your-posira-api-key"
}
}
}
}
Windows:
{
"mcpServers": {
"chessagine-mcp": {
"command": "node",
"args": ["C:\\absolute\\path\\to\\chessagine-mcp\\build\\runner\\stdio.js"],
"env": {
"LICHESS_API_TOKEN": "optional-your-lichess-api-token",
"CHESSBOARD_MAGIC_PAT": "optional-your-chessboardmagic-pat",
"POSIRA_API_KEY": "optional-your-posira-api-key"
}
}
}
}
Option 2: Using MCPB File (experimental — currently less stable)
[!WARNING]
The.mcpbinstall path has known rough edges in some Claude Desktop versions. If it fails to load, use Option 1 above instead. Its one advantage: Claude Desktop runs it with its own bundled Node runtime, so you don't need Node.js/npm installed yourself for this option.
Download the chessagine-mcp.mcpb file and install it directly in Claude Desktop:
- Download the latest release from GitHub releases
- Open Claude Desktop
- Go to Settings → Extensions → Install from file
- Select the
chessagine-mcp.mcpbfile - Restart Claude Desktop
[!NOTE]
To make sure its working correctly ask it to render the chessboard or a specific chess query
Option 3: Connect to the Hosted Remote Server (No Install)
Skip the build entirely and point any MCP-compatible client at the hosted deployment:
https://chessagine-mcp.vercel.app/mcp
This is a Streamable HTTP endpoint — no API key or local setup required. Exact steps differ by client (config file vs. UI), so see install.md for copy-pasteable setup steps covering Claude Desktop, Claude Code, LibreChat, Open WebUI, AnythingLLM, Jan, Goose, Cursor, Windsurf, Cline, VS Code, Continue.dev, Zed, and other MCP-compatible GUIs — both open source and proprietary — for both the remote URL and the local stdio server.
Usage:
- show me my last Lichess game I played, I'm insert_your_username there, also analyze the game using Stockfish
- given fen compare and constrast what stockfish thinks vs Leela and Maia
- analyze my opening rep from Chessboard magic.
ChessAgine.Skill
to properly use ChessAgine MCP, give LLM access to how to properly use the it via .skill file in ./chessagine-skill/ folder
Deploy your own instance
You can deploy your own copy to Vercel in a few clicks:
- Fork this repo
- Go to vercel.com/new and import your fork
- No environment variables needed — just deploy
- Your server will be at
https://your-project.vercel.app/mcp
Dev commands
npm run build:mcp # Builds the mcp server layer which generates mcpb file
npm run build:ui # Builds the ChessAgine MCP UI html files
npm run build # Builds entire project, use for local development
npm run start # starts the MCP server
npm run debug # opens MCP inspector to inspect new changes made
License
This project is licensed under the MIT License, the /themes and /protocol are under GPL. See the LICENSE file for details.
Authors
@jalpp
Install ChessAgine (Stockfish) in Claude Desktop, Claude Code & Cursor
unyly install chessagine-stockfishInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add chessagine-stockfish -- npx -y @anthropic-ai/mcpbStep-by-step: how to install ChessAgine (Stockfish)
FAQ
Is ChessAgine (Stockfish) MCP free?
Yes, ChessAgine (Stockfish) MCP is free — one-click install via Unyly at no cost.
Does ChessAgine (Stockfish) need an API key?
No, ChessAgine (Stockfish) runs without API keys or environment variables.
Is ChessAgine (Stockfish) hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install ChessAgine (Stockfish) in Claude Desktop, Claude Code or Cursor?
Open ChessAgine (Stockfish) on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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