# GitHub MCP Server

> Use this tool when you need to analyze employee GitHub activity for performance assessment and impact analysis. It enables AI agents to examine pull requests, code reviews, comments, and contributions across repositories, with time-range filtering for targeted insights. This tool is ideal for evaluating employee contributions, identifying areas for improvement, and measuring the impact of code changes over time.

Canonical page: https://skillsregistry.net/skills/radireddy-github-mcp  
JSON: https://api.skillsregistry.net/v1/skills/radireddy-github-mcp

## Description

Enables AI agents to analyze employee GitHub activity including PRs, code reviews, comments, and contributions across repositories with time-range filtering for performance assessment and impact analysis.

## Trust

- **Trust score (0–1):** 0.77
- **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:** [Glama](https://glama.ai/mcp/servers/aa9ok6ixmn)
- **Repository:** <https://github.com/radireddy/github-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": "radireddy-github-mcp"
    }
  }
}
```

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

---
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