# MCP Code Review Server

> Use this tool when you need to automate code review for pull requests across multiple platforms, such as GitHub, GitLab, Bitbucket, and Azure DevOps. It solves problems of manual code review, providing instantaneous feedback on code quality, security, and best practices through AI-powered analysis. The tool accepts webhook inputs and outputs detailed review reports, making it ideal for development teams seeking to streamline their code review process.

Canonical page: https://skillsregistry.net/skills/mennansevim-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mennansevim-mcp-server

## Description

Enables automated AI-powered code review for pull requests across GitHub, GitLab, Bitbucket, and Azure DevOps via webhooks, and manual code review through MCP tools using Groq, Claude, or GPT-4.

## Trust

- **Trust score (0–1):** 0.21
- **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/zm5vwwasvf)
- **Repository:** <https://github.com/mennansevim/mcp-server>

## 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": "mennansevim-mcp-server"
    }
  }
}
```

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