mcp-git-ingest
by adhikasp
MCP Git Ingest
A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.
Inspired by gitingest.
<a href="https://glama.ai/mcp/servers/un2zatig9e"><img width="380" height="200" src="https://glama.ai/mcp/servers/un2zatig9e/badge" /></a>
Configuration
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{
"mcpServers": {
"mcp-git-ingest": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-git-ingest", "mcp-git-ingest"],
}
}
}
Usage
Using mcp-client-cli:
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$ llm read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works
I'll help you understand the technical details of the mcp-git-ingest repository. I'll first fetch the directory structure and then read the important files to analyze how the code works.
Tool Calls:
github_directory_structure
Args:
repo_url: https://github.com/adhikasp/mcp-git-ingest
Now, I'll read the important files to understand the technical implementation:
Tool Calls:
github_read_important_files
Args:
repo_url: https://github.com/adhikasp/mcp-git-ingest
file_paths: ['README.md', 'src/mcp_git_ingest/main.py', 'pyproject.toml']
Let me break down how this code technically works:
1. Purpose:
The `mcp-git-ingest` is a Model Context Protocol (MCP) server designed to help read GitHub repository structures and important files. It provides two main tools:
- `github_directory_structure`: Returns a tree-like representation of a repository's directory structure
- `github_read_important_files`: Reads and returns the contents of specified files in a repository
2. Technical Implementation:
a. Dependencies:
- Uses `fastmcp` for creating an MCP server
- Uses `gitpython` for Git repository operations
- Requires Python 3.8+
b. Key Functions:
`clone_repo(repo_url: str) -> str`:
- Creates a deterministic temporary directory based on the repository URL's hash
- Checks if the repository is already cloned
- If not, clones the repository
- Handles error cases and cleanup
- Returns the path to the cloned repository
`get_directory_tree(path: str, prefix: str = "") -> str`:
- Recursively generates a tree-like directory structure
- Skips `.git` directories
- Uses Unicode box-drawing characters to create a visual tree representation
- Handles sorting of entries
`github_directory_structure(repo_url: str) -> str`:
- Clones the repository
- Generates directory tree
- Cleans up the temporary repository after processing
- Returns the tree structure or an error message
`github_read_important_files(repo_url: str, file_paths: List[str]) -> dict[str, str]`:
- Clones the repository
- Reads specified files
- Returns a dictionary mapping file paths to their contents
- Handles file reading errors
- Cleans up the temporary repository
3. Error Handling:
- Uses try-except blocks to handle repository cloning, file reading errors
- Ensures temporary directories are always cleaned up using `finally` blocks
- Returns descriptive error messages
4. Performance Optimizations:
- Uses a hash-based temporary directory naming to potentially reuse cloned repositories
- Checks for existing repositories before cloning
- Implements cleanup to prevent accumulation of temporary files
5. Unique Features:
- Deterministic temporary directory creation
- Unicode tree representation
- Flexible file reading with error handling
6. Execution:
- Can be run as a CLI tool via `mcp-git-ingest`
- Configured through `pyproject.toml`
- Depends on `fastmcp` for MCP server functionality
The code is a robust, flexible tool for programmatically exploring and reading GitHub repositories, with a focus on error handling and clean implementation.
Would you like me to elaborate on any specific aspect of the implementation?
Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".