Overview
What is Gitingest MCP Server?
Gitingest MCP Server is a Model Context Protocol (MCP) server that integrates with gitingest to turn any Git repository into a simple text digest of its codebase. It is designed for AI assistants to analyze and ingest repository content through tools.
How to use Gitingest MCP Server?
Configure the server in your AI assistant’s settings using uvx (PyPI: gitingestmcp@latest) or a local/remote Git installation. The server exposes a single tool, ingest_git, which accepts a repository URL or local path and optional filters.
Key features of Gitingest MCP Server
- Easy integration with AI assistants via the Model Context Protocol
- Git repository analysis and ingestion capabilities
- Support for filtering files by size, patterns, and branches
- Returns comprehensive repository summary, file structure, and content
Use cases of Gitingest MCP Server
- Feeding a Git repository’s codebase to an AI assistant for analysis
- Generating a digest of a repository’s structure and content
- Filtering repository files by size or pattern before ingestion
FAQ from Gitingest MCP Server
What does the ingest_git tool do?
It analyzes a Git repository and returns its content in a structured format, including a summary, tree-like file structure, and file contents.
What parameters does ingest_git accept?
It requires a source (URL or local path) and accepts optional max_file_size (default 10 MB), include_patterns, exclude_patterns, and branch (default "main").
How do I install Gitingest MCP Server?
Install via uvx gitingestmcp@latest (PyPI), from a GitHub URL using uvx with --from, or run locally with uv and a directory path.
What is the default branch and file size limit?
The default branch is "main" and the default maximum file size is 10 MB.
Does the server return the full content of the repository?
Yes, the returned string contains the repository summary, a tree-like file structure, and the content of included files.
