# pr-review-mcp

> Use this tool when you need to streamline AI-powered pull request reviews on GitHub, automating the review process to improve code quality and reduce manual effort. It solves problems of manual review bottlenecks, inconsistent feedback, and integrates with GitHub to receive pull requests as input and output detailed review comments. Ideal for use in software development workflows where efficient code review and collaboration are crucial.

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

## Description

Unified MCP control plane for AI pull request reviews on GitHub.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ut8q1gnwfv)
- **Repository:** <https://github.com/thebtf/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": "thebtf-pr-review-mcp"
    }
  }
}
```

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