# Git

> Use this tool when you need to interact with Git repositories and perform version control tasks, such as core functions, branch management, and remote handling, to automate code management, analyze repositories, and assist with collaborative coding. It provides a standardized interface for AI models to integrate with GitHub and leverage features like bulk actions and smart path handling. This tool is ideal for AI-powered development tools and systems that aim to enhance software development processes through intelligent version control interactions.

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

## Description

This Git MCP server, developed by Sheshiyer, provides a standardized interface for AI models to interact with Git repositories. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a wide range of Git operations including core functions, branch management, tagging, remote handling, and stashing. The implementation focuses on providing a consistent MCP interface for Git functionality, enabling AI assistants to perform complex version control tasks. By integrating with GitHub and offering features like bulk actions and smart path handling, this server facilitates sophisticated development workflows such as automated code management, repository analysis, and collaborative coding assistance. It's particularly valuable for AI-powered development tools and systems aimed at enhancing software development processes through intelligent version control interactions.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sheshiyer-git)
- **Repository:** <https://github.com/sheshiyer/git-mcp-v2>

## 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": "sheshiyer-git"
    }
  }
}
```

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