Chess.com Mcp Server
A Model Context Protocol server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.
Overview
What is Chess MCP?
Chess MCP is a Model Context Protocol server designed to interface with Chess.com's Published Data API. It provides a standardized way to access a wealth of chess-related data, including player statistics, game records, and other public information. This allows developers and AI assistants to efficiently search and analyze chess information, making it easier to build applications and tools that leverage chess data.
Features of Chess MCP
- Standardized Interfaces: Chess MCP utilizes standardized Model Context Protocol interfaces, ensuring consistent access to data across different applications.
- Comprehensive Data Access: Users can retrieve detailed player data, including rankings, game history, and performance metrics.
- AI Integration: The protocol is designed to facilitate the integration of AI assistants, enabling them to analyze chess information and provide insights.
- Public Information: All data accessed through Chess MCP is publicly available, ensuring transparency and accessibility for developers and users alike.
- Open Source: Chess MCP is an open-source project, allowing developers to contribute, modify, and enhance the protocol as needed.
How to Use Chess MCP
- Set Up the Environment: Ensure you have the necessary tools and libraries installed to interact with the Chess.com API.
- Access the API: Use the standardized MCP interfaces to connect to the Chess.com data. This typically involves making HTTP requests to the API endpoints.
- Retrieve Data: Utilize the various endpoints to fetch player data, game records, and other relevant information.
- Analyze Data: Implement logic in your application to analyze the retrieved data, whether for personal use, AI training, or other purposes.
- Contribute to the Project: If you have improvements or features to add, consider contributing to the Chess MCP repository on GitHub.
Frequently Asked Questions
Q: What kind of data can I access with Chess MCP?
A: You can access a variety of chess-related data, including player profiles, game histories, and statistics from Chess.com.
Q: Is Chess MCP free to use?
A: Yes, Chess MCP is an open-source project, and all data accessed through it is publicly available.
Q: Can I integrate Chess MCP with AI applications?
A: Absolutely! Chess MCP is designed to facilitate AI integration, allowing AI assistants to analyze and provide insights based on chess data.
Q: How can I contribute to Chess MCP?
A: You can contribute by forking the repository on GitHub, making your changes, and submitting a pull request for review.
Q: Where can I find the documentation for Chess MCP?
A: Documentation is typically available in the repository's README file or a dedicated documentation section within the project.
Details
Server Config
{
"mcpServers": {
"chess-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--pab1it0--chess-mcp--chess-mcp",
"chess-mcp"
],
"env": {}
}
}
}
