# mcp-github-pr-issue-analyser

> mcp-github-pr-issue-analyser — saidsef-mcp-github-pr-issue-analyser. Use this tool when you need to automate GitHub Pull Request (PR) analysis and issue management for large language models (LLMs). It solves problems related to fetching PR details, analyzing diffs, managing issues, and handling releases, providing a standardized interface for these tasks. The tool takes GitHub repository data as input and outputs analyzed PR information, enabling efficient issue management and release handling.

Canonical page: https://skillsregistry.net/skills/saidsef-mcp-github-pr-issue-analyser  
JSON: https://api.skillsregistry.net/v1/skills/saidsef-mcp-github-pr-issue-analyser

## Description

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/saidsef/mcp-github-pr-issue-analyser)

## 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": "saidsef-mcp-github-pr-issue-analyser"
    }
  }
}
```

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