# GitLab Code Review MCP Server

> Use this tool when you need to streamline code review workflows and automate interactions with GitLab merge requests. It enables AI assistants to review code changes, search projects, and create draft comments, solving problems such as manual review overhead and inefficient collaboration. With inputs including merge request data and outputs like draft comments, this tool is ideal for teams using GitLab to manage their codebase.

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

## Description

Enables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/yn4gknbtp5)
- **Repository:** <https://github.com/thaihoangminh/code-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": "thaihoangminh-code-review-mcp"
    }
  }
}
```

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