GitHub Repository MCP Server
GitHub context server for AI models. Fetch files, structure, filter, and more.
What is GitHub Repository MCP Server?
what is GitHub Repository MCP Server? GitHub Repository MCP Server is a Model Context Protocol (MCP) server that allows AI models to access GitHub repository contents as context, enabling enhanced interactions with AI. how to use GitHub Repository MCP Server? To use the server, clone the repository, install dependencies, and set up GitHub authentication to increase API request limits. Then, integrate it with tools like Cursor for seamless operation. key features of GitHub Repository MCP Server? Fetch entire repository contents as context Retrieve specific file contents from a repository Get repository structure (file listing) Filter files by extension Exclude specific paths Limit the number of files returned use cases of GitHub Repository MCP Server? Enabling AI models to access and analyze code from GitHub repositories. Assisting developers in fetching repository structures for better project understanding. Facilitating the retrieval of specific files for AI-driven code analysis. FAQ from GitHub Repository MCP Server? Can I use this server with private repositories? Yes, but you need to authenticate using a GitHub personal access token. What is the rate limit for unauthenticated requests? The limit is 60 requests per hour; authenticated requests can go up to 5000 requests per hour. How do I set up the server with Cursor? Follow the provided steps in the usage section to add the MCP server in Cursor settings.
As an MCP (Model Context Protocol) server, GitHub Repository MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use GitHub Repository MCP Server
To use the server, clone the repository, install dependencies, and set up GitHub authentication to increase API request limits. Then, integrate it with tools like Cursor for seamless operation. key features of GitHub Repository MCP Server? Fetch entire repository contents as context Retrieve specific file contents from a repository Get repository structure (file listing) Filter files by extension Exclude specific paths Limit the number of files returned use cases of GitHub Repository MCP Server? Enabling AI models to access and analyze code from GitHub repositories. Assisting developers in fetching repository structures for better project understanding. Facilitating the retrieval of specific files for AI-driven code analysis. FAQ from GitHub Repository MCP Server? Can I use this server with private repositories? Yes, but you need to authenticate using a GitHub personal access token. What is the rate limit for unauthenticated requests? The limit is 60 requests per hour; authenticated requests can go up to 5000 requests per hour. How do I set up the server with Cursor? Follow the provided steps in the usage section to add the MCP server in Cursor settings.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like GitHub Repository MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like GitHub Repository MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.