ghcontext: Supercharge Your LLMs with Real-time GitHub Context
What is ghcontext?
ghcontext is a server that provides real-time GitHub data to Large Language Models (LLMs), enhancing their capabilities in software development by ensuring they have access to the latest repository information.
How to use ghcontext?
To use ghcontext, you need to run it with a GitHub token for authentication. You can either run it directly using npx or install it globally via npm. Once set up, connect your MCP-compatible LLM to the ghcontext server endpoint to access GitHub data.
Key features of ghcontext?
- Real-time access to GitHub repository information.
- API documentation extraction from README files.
- Repository structure analysis and content retrieval.
- Intelligent caching to reduce API calls.
Use cases of ghcontext?
- Providing up-to-date API documentation to AI assistants.
- Enhancing code understanding for LLMs in software development.
- Assisting developers in finding specific code snippets or files in repositories.
FAQ from ghcontext?
- What is required to run ghcontext?
A GitHub token is required for authentication to access repository data.
- Can ghcontext work with private repositories?
Yes, ghcontext can access information from private repositories as long as the token has the necessary permissions.
- Is there a limit to the number of API calls?
While ghcontext uses intelligent caching to minimize API calls, the actual limits depend on GitHub's API rate limits.