# github-pr-review-mcp

> Use this tool when you need to automate GitHub Pull Request (PR) reviews, analyze code changes, and submit reviews with inline comments. It solves problems of manual PR review, enabling Large Language Models (LLMs) to efficiently review and provide feedback on code submissions. The tool accepts PR data as input and outputs automated review submissions and inline comments via MCP interface.

Canonical page: https://skillsregistry.net/skills/jamesjfoong-github-pr-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamesjfoong-github-pr-review-mcp

## Description

Provides GitHub PR review capabilities to LLMs, enabling automated PR analysis, review submission, and inline commenting via MCP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/imftc8a71q)
- **Repository:** <https://github.com/jamesjfoong/github-pr-review-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": "jamesjfoong-github-pr-review-mcp"
    }
  }
}
```

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