# CodeRabbit CLI MCP

> Use this tool when you need to automate code reviews and analyze changes in a repository. It solves problems related to code quality and consistency by executing comprehensive reviews of committed, uncommitted, or all changes. The CodeRabbit CLI MCP tool takes repository changes as input and outputs detailed code review results, making it ideal for use in development workflows where code quality is crucial.

Canonical page: https://skillsregistry.net/skills/2001y-coderabbit-cli-mcp  
JSON: https://api.skillsregistry.net/v1/skills/2001y-coderabbit-cli-mcp

## Description

Enables AI code reviews through the CodeRabbit CLI by exposing a run_review tool that executes CodeRabbit with full flag coverage for analyzing committed, uncommitted, or all changes in a repository.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ldi09mr0vq)
- **Repository:** <https://github.com/2001Y/coderabbit-cli-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": "2001y-coderabbit-cli-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2001y-coderabbit-cli-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2001y-coderabbit-cli-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
