# mcp-pr-reviewer

> Use this tool when you need to automate code review and approval processes for GitHub Pull Requests. It analyzes code changes using AI via MCP, providing detailed feedback and making approve or reject decisions to streamline development workflows. Ideal for teams seeking to improve code quality and reduce manual review time.

Canonical page: https://skillsregistry.net/skills/yazcaleb-mcp-pr-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/yazcaleb-mcp-pr-reviewer

## Description

Analyzes GitHub Pull Requests using AI via MCP, providing detailed feedback and approve/reject decisions.

## Trust

- **Trust score (0–1):** 0.68
- **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/l2tvssmjio)
- **Repository:** <https://github.com/yazcaleb/mcp-pr-reviewer>

## 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": "yazcaleb-mcp-pr-reviewer"
    }
  }
}
```

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