# Cursor Auto-Review MCP Server

> Use this tool when you need to automate code reviews and generate standardized commit messages and pull request descriptions. It solves problems of manual code review, inconsistent commit formatting, and tedious pull request description writing by analyzing code changes and patterns through linting, testing, and git diff analysis. The tool takes in code changes and file modifications as input and outputs detailed pull request descriptions and conventional commit messages.

Canonical page: https://skillsregistry.net/skills/dev-prajwal-cursor-auto-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dev-prajwal-cursor-auto-review-mcp

## Description

An MCP server that automates code reviews through linting, testing, and git diff analysis. It also generates conventional commit messages and detailed pull request descriptions based on file changes and code patterns.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/osgo5el1ds)
- **Repository:** <https://github.com/dev-prajwal/Cursor-auto-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": "dev-prajwal-cursor-auto-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-prajwal-cursor-auto-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-prajwal-cursor-auto-review-mcp/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