# pr-reviewer-mcp

> pr-reviewer-mcp — srivastava-aryan-cmw-mcp. Use this tool when you need to automate code review processes on GitHub, leveraging AI-powered analysis to identify issues and improve code quality. It solves problems such as manual review bottlenecks and inconsistent feedback, providing outputs like annotated code suggestions and review comments. The tool accepts GitHub pull requests as input and generates review feedback as output, ideal for use in software development workflows.

Canonical page: https://skillsregistry.net/skills/srivastava-aryan-cmw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/srivastava-aryan-cmw-mcp

## Description

An MCP server exposing AI-powered GitHub PR review as tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o7btdkc8m1)
- **Repository:** <https://github.com/srivastava-aryan/cmw-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": "srivastava-aryan-cmw-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srivastava-aryan-cmw-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srivastava-aryan-cmw-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