GitIngest
Generates structured text context files from public and private GitHub repositories, optimizing code information for large language model (LLM) task resolution.
Acerca de
The GitIngest tool operates as an MCP (Model Context Protocol) server, meticulously integrating with GitIngest to produce comprehensive context files from GitHub repositories. This robust solution is specifically engineered to feed LLM task resolution nodes with relevant, structured code information, enhancing the AI's ability to understand and process codebase queries. It supports both public and private repositories, is fully Dockerized for ease of deployment, offers flexible configuration through inclusion/exclusion patterns, and ensures security by running as a non-root user within containers.
Características Principales
- Full integration with GitIngest for GitHub repositories (public and private)
- Compliant with the MCP standard for seamless AI agent integration
- Dockerized for easy deployment and containerized execution
- Flexible configuration with customizable include/exclude patterns
- Robust error handling with automatic fallback to CLI if Python package is unavailable
- 0 GitHub stars
Casos de Uso
- Providing comprehensive code context for LLMs to resolve programming tasks
- Generating structured text digests of GitHub repositories for AI agent consumption
- Validating and ingesting repository data for automated code analysis and understanding
