# Git

> Use this tool when you need to automate and interact with Git repositories, solving version control and repository management problems through a range of operations like status checks, committing, and branching. It accepts Git commands and repository data as inputs and provides output in the form of repository status, diffs, and commit histories. Use it in contexts where AI-assisted version control and automation are required, such as Large Language Model integrations and DevOps workflows.

Canonical page: https://skillsregistry.net/skills/geropl-git  
JSON: https://api.skillsregistry.net/v1/skills/geropl-git

## Description

This MCP server provides tools for Git repository interaction and automation, written in Go. It offers a range of Git operations including status checks, diff viewing, committing, branching, and pushing. The server supports both shell-based Git commands and the go-git library, allowing flexibility in implementation. It's designed for integration with Large Language Models, enabling AI-assisted version control and repository management workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/geropl-git)
- **Repository:** <https://github.com/geropl/git-mcp-go>

## 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": "geropl-git"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/geropl-git` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/geropl-git/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