Which integrations are available for this server?

Offers community support through a [Discord](/mcp/servers/integrations/discord) server for ChessAgine users to get help and engage with other chess enthusiasts. Integrates with [GitHub](/mcp/servers/integrations/github) for project hosting, issue tracking, feature requests, and accessing releases including the MCPB installation files. Provides access to [Lichess](/mcp/servers/integrations/lichess)'s extensive chess database including 3+ million tactical puzzles with theme filtering, master game statistics, opening explorer data, and user game history retrieval for comprehensive chess analysis and training.

How do I use ChessAgine MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type `@` followed by the MCP server name and your instructions, e.g., `@ChessAgine MCP what is the weather in Tokyo?` That's it! The server will respond to your query, and you can continue using it as needed. Here is a [step-by-step guide with screenshots](https://glama.ai/blog/2025-07-08-how-to-install-and-use-mcp-servers). You can also use deployed servers via HTTP endpoints. For instructions, see [How to Test MCP Streamable HTTP Endpoints Using cURL](https://glama.ai/blog/2026-01-02-how-to-test-mcp-streamable-http-endpoints-using-c-url).

ChessAgine MCP

A comprehensive Model Context Protocol (MCP) server that provides advanced chess analysis capabilities by implementing Chess Context Protocol Server and integrating Stockfish engine evaluation, neural net Maia2/Lc0 policy eval, positional theme analysis, opening databases, puzzle training, game visualization, and chess knowledge for enhanced chess understanding and gameplay improvement.

Preview

Features

🔧 Core Analysis Tools

Stockfish Integration: Deep engine analysis with configurable search depth
Neural Network Integration: Give LLM access to chess neural net policy and evals
Theme Analysis: Evaluate material, mobility, space, positional factors, and king safety
Variation Analysis: Compare multiple lines and track positional changes
Move Validation: Check move legality and generate board state descriptions
Game Review: Comprehensive game analysis with theme progression and critical moments

🎮 Interactive Features

Visual Board Rendering: Generate HTML chess boards for any position
Dynamic Game Viewer: Interactive game replay with move navigation
Puzzle Training: Access Lichess puzzle database with theme filtering
Game Fetching: Retrieve user games from Lichess for analysis

📊 Database Integration

Lichess Master Games: Access master-level opening statistics and games
Lichess User Games: Analyze how positions are played across skill levels
Lichess Puzzle Database: 3+ million tactical puzzles with theme-based filtering
ChessDB: Query extensive game databases for move evaluations and statistics

🧠 Knowledge Base

Chess Principles: Silman's imbalances and Fine's 30 principles
Endgame Theory: Essential endgame knowledge and patterns
Strategic Concepts: Comprehensive chess improvement guidelines
Puzzle Themes: 150+ tactical motifs and patterns

Installation

Option 0: Installing via Smithery

To install ChessAgine automatically via Smithery:

npx -y @smithery/cli install @jalpp/chessagine-mcp

Option 1: Using MCPB File (Recommended)

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.mcpb file
Restart Claude Desktop

Option 2: Local Development Setup

Prerequisites

Node.js 22+
npm or yarn package manager

Clone and Setup

git clone https://github.com/jalpp/chessagine-mcp.git cd chessagine-mcp npm install npm run build:mcp

Configure Claude Desktop

Add to your claude_desktop_config.json:

macOS/Linux:

{ "mcpServers": { "chessagine-mcp": { "command": "node", "args": ["/absolute/path/to/chessagine-mcp/build/runner/stdio.js"] } } }

Windows:

{ "mcpServers": { "chessagine-mcp": { "command": "node", "args": ["C:\\absolute\\path\\to\\chessagine-mcp\\build\\runner\\stdio.js"] } } }

Dev commands

npm run build:mcp # Build the projects and mcpb file npm run dev # test and interact with chessAgine via smithery npm run debug # opens MCP inspector to inspect new changes made