
ChessPal MCP Server
ChessPal MCP Server bridges the Stockfish chess engine with AI assistants and clients, providing advanced chess analysis, move suggestions, and game evaluation ...
Integrate public Chess.com data into your AI flows and applications with the Chess.com MCP Server, providing real-time player profiles, game records, and more without authentication.
The Chess.com MCP Server is a Model Context Protocol (MCP) server designed to interface with Chess.com’s Published Data API. It enables AI assistants and developer tools to access public Chess.com player profiles, statistics, and game records via standardized MCP interfaces. By bridging Chess.com’s public API with the MCP ecosystem, this server allows AI clients to search, analyze, and interact with chess data programmatically. Typical use cases include querying player information, searching historical games, checking player statuses, and retrieving club or titled player details. The server is designed for easy integration, requires no authentication (leveraging Chess.com’s public endpoints), and supports containerized deployment for fast setup in development workflows.
No prompt templates are mentioned in the available documentation or repository files.
No explicit MCP resources are listed in the documentation or visible files.
No setup instructions or configuration examples for Windsurf are provided in the documentation or repository.
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"chess": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"pab1it0/chess-mcp"
]
}
}
}
No setup instructions or configuration examples for Cursor are provided in the documentation or repository.
No setup instructions or configuration examples for Cline are provided in the documentation or repository.
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"chess": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “chess” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | No prompts listed |
List of Resources | ⛔ | No resources listed |
List of Tools | ✅ | Only get_player_profile explicitly named |
Securing API Keys | ✅ | No keys needed |
Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
Based on the tables above, the Chess.com MCP Server provides a solid single-purpose integration with clear documentation for Claude setup and at least one available tool, but lacks prompt templates, explicit resources, and broader MCP features like Roots or Sampling.
The Chess.com MCP Server is straightforward and valuable for chess-related AI integrations, but limited in breadth and MCP extensibility. It would benefit from more tools, prompt templates, and explicit resource definitions. Given the information provided and its current scope, it is a functional but basic MCP server.
Has a LICENSE | ✅ (MIT) |
---|---|
Has at least one tool | ✅ |
Number of Forks | 9 |
Number of Stars | 42 |
The Chess.com MCP Server provides a standardized MCP interface to Chess.com's public API, allowing AI assistants and developer tools to access player profiles, statistics, and historical game data programmatically.
Currently, the Chess.com MCP Server exposes the get_player_profile tool, allowing users to fetch detailed public profiles for any Chess.com username.
No authentication or API keys are required. The server leverages Chess.com’s public, unauthenticated API endpoints.
Use cases include real-time player lookup, game record retrieval for analysis, player status checks, accessing club rosters or lists of titled players, and integrating chess data into AI-powered coaching or review tools.
Add the MCP component to your FlowHunt flow, then configure the MCP server details in the system MCP configuration section using the provided JSON format, replacing the URL and server name as needed.
Bring chess intelligence to your AI workflows. Connect the Chess.com MCP Server and access player stats, histories, and live data with ease.
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