# Code Review MCP Server

> Use this tool when you need to streamline code review processes for large-scale projects, ensuring logic, security, and architectural consistency. It solves problems of manual code review, providing automated analysis of pull and merge requests on GitHub and GitLab, and offers guided prompts for professional code reviews. The tool takes in repository data and outputs detailed review reports, making it ideal for development teams seeking to improve code quality and collaboration.

Canonical page: https://skillsregistry.net/skills/danielefavi-mcp-server-code-review  
JSON: https://api.skillsregistry.net/v1/skills/danielefavi-mcp-server-code-review

## Description

Connects LLMs to GitHub and GitLab to analyze pull and merge requests for logic, security, and architectural alignment. It provides tools for fetching diffs, file contents, and project metadata, alongside guided prompts for professional code reviews.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o381c36533)
- **Repository:** <https://github.com/danielefavi/mcp-server-code-review>

## 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": "danielefavi-mcp-server-code-review"
    }
  }
}
```

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