# PyGithub

> Use this tool when you need to integrate GitHub functionality into AI-assisted software development workflows, managing issues, repositories, and pull requests through a reliable and maintainable API bridge. It solves problems related to authentication, rate limiting, and error recovery, providing a modular architecture for seamless GitHub interactions. Ideal for use cases requiring automated GitHub operations, such as AI-driven project management and collaborative development.

Canonical page: https://skillsregistry.net/skills/astromined-pygithub  
JSON: https://api.skillsregistry.net/v1/skills/astromined-pygithub

## Description

PyGithub MCP Server provides a bridge between AI assistants and the GitHub API through PyGithub, enabling operations like managing issues, repositories, and pull requests. The implementation follows a modular architecture with domain-specific schemas, converters, and operations that handle authentication, rate limiting, and error recovery automatically. Built with a focus on reliability and maintainability, it includes comprehensive test coverage with both unit and integration tests, making it particularly valuable for AI-assisted software development workflows that require GitHub integration.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/astromined-pygithub)
- **Repository:** <https://github.com/astromined/pygithub-mcp-server>

## 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": "astromined-pygithub"
    }
  }
}
```

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