A Model Context Protocol (MCP) server that reads GitHub repository structures and important files.
https://github.com/adhikasp/mcp-git-ingestStop copying and pasting code snippets into your AI conversations. With mcp-git-ingest, your AI assistant can directly analyze any GitHub repository's structure and read its important files in seconds.
You're already using AI assistants for code review, debugging, and architecture discussions. But you're probably still manually feeding them context—copying README files, pasting code snippets, describing project structures. That's time you could spend actually building.
mcp-git-ingest eliminates this friction by giving your AI assistant direct access to GitHub repositories. Point it at any repo URL and instantly get:
Instead of this painful workflow:
# Clone repo locally
git clone https://github.com/someone/interesting-project
cd interesting-project
# Copy README contents to AI chat
# Manually describe project structure
# Paste specific files when asked
You get this:
$ llm "analyze https://github.com/someone/interesting-project architecture"
# AI automatically fetches repo structure and key files
# Provides architectural analysis in seconds
Code Review Prep: Before diving into a new codebase, get your AI to map out the architecture, identify key entry points, and spot potential issues.
Dependency Analysis: Quickly understand what a project depends on and how it's structured without cloning locally.
Open Source Evaluation: Rapidly assess libraries and tools by having your AI analyze their code organization and documentation quality.
Onboarding: Help new team members understand codebases by generating architectural overviews and component explanations.
Documentation: Create better docs by having AI analyze your own repos and suggest improvements based on actual code structure.
Built with fastmcp and gitpython, mcp-git-ingest handles the messy parts of repository analysis:
The caching system means repeated requests to the same repo are fast, while the cleanup ensures you won't fill up your disk with temporary clones.
Add to your MCP configuration:
{
"mcpServers": {
"mcp-git-ingest": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-git-ingest", "mcp-git-ingest"]
}
}
}
That's it. Your AI assistant now has GitHub repository superpowers.
The real value isn't just convenience—it's about having better conversations with your AI assistant. When your AI has full context about a repository's structure and important files, it can:
You're not just saving time on manual copy-paste. You're unlocking deeper, more productive AI interactions that actually understand your codebase.