Gitingest MCP Server

Gitingest MCP Server

Gitingest MCP Server

Category
Visit Server

Tools

ingest_git

This function analyzes a source (URL or local path), clones the corresponding repository (if applicable), and processes its files according to the specified query parameters. It can return a summary, a tree-like structure of the files, or the content of the files.

README

Gitingest MCP Server

A Model Context Protocol (MCP) server implementation that integrates with gitingest for turning any Git repository into a simple text digest of its codebase.

<a href="https://glama.ai/mcp/servers/@narumiruna/gitingest-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@narumiruna/gitingest-mcp/badge" alt="Gitingest Server MCP server" /> </a>

Features

  • Easy integration with AI assistants through the Model Context Protocol
  • Git repository analysis and ingestion capabilities
  • Support for filtering files by size, patterns, and branches
  • Returns comprehensive repository information including summaries, file structure, and content

Usage

Configuration Options

Add the following configuration to your AI assistant's settings to enable gitingest-mcp as an MCP server:

PyPI Installation

{
  "mcpServers": {
    "gitingestmcp": {
      "command": "uvx",
      "args": ["-U", "gitingestmcp"]
    }
  }
}

GitHub Installation

{
  "mcpServers": {
    "gitingestmcp": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/narumiruna/gitingest-mcp",
        "gitingestmcp"
      ]
    }
  }
}

Local Installation

{
  "mcpServers": {
    "gitingestmcp": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/home/<user>/workspace/gitingest-mcp",
        "gitingestmcp"
      ]
    }
  }
}

API

The server provides the following tool:

ingest_git

Analyzes a Git repository and returns its content in a structured format.

Parameters:

  • source: The URL of a Git repository or a local directory path
  • max_file_size (optional): Maximum allowed file size in bytes (default: 10MB)
  • include_patterns (optional): Pattern or set of patterns specifying files to include (e.g., "*.md, src/")
  • exclude_patterns (optional): Pattern or set of patterns specifying files to exclude
  • branch (optional): The branch to clone and analyze (default: "main")

Returns:

A string containing:

  1. Repository summary
  2. Tree-like structure of the files
  3. Content of the repository files

Resources

  • gitingest website: https://gitingest.com/
  • gitingest repository: https://github.com/cyclotruc/gitingest

License

See the LICENSE file for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured