# Gitingest MCP Server

> Use this tool when you need to analyze and query Git repository content, providing a unified interface for repository summaries, file structures, and full content. It solves problems related to repository exploration, content discovery, and data optimization for large language models (LLMs). The Gitingest MCP Server takes Git repository data as input and outputs optimized content for LLM consumption, making it ideal for use cases involving AI-driven repository analysis and querying.

Canonical page: https://skillsregistry.net/skills/mattdepaolis-mattdepaolis-gitingest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mattdepaolis-mattdepaolis-gitingest-mcp

## Description

Enables analysis and querying of Git repository content (both public and private) through a unified tool that provides repository summaries, file structures, and full content optimized for LLM consumption.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y4imkiv4e9)
- **Repository:** <https://github.com/mattdepaolis/mattdepaolis-gitingest-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mattdepaolis-mattdepaolis-gitingest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattdepaolis-mattdepaolis-gitingest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattdepaolis-mattdepaolis-gitingest-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
