# GitLab Review

> Use this tool when you need to automate code review workflows and integrate AI-assisted analysis with GitLab merge requests. It solves problems related to manual code review processes by providing tools for retrieving merge request details and posting discussion comments. The tool takes GitLab API credentials and merge request data as input and outputs discussion comments and analysis results, making it ideal for use in developer teams and AI-powered code review contexts.

Canonical page: https://skillsregistry.net/skills/yu-ito-gitlab-review  
JSON: https://api.skillsregistry.net/v1/skills/yu-ito-gitlab-review

## Description

This GitLab Review MCP server, developed by Yu Ito, facilitates code review processes by integrating with GitLab's API. Built using TypeScript and the Model Context Protocol SDK, it provides tools for retrieving merge request details, fetching the latest versions, and posting discussion comments. The server utilizes environment variables for GitLab authentication and API URL configuration, ensuring flexibility across different GitLab instances. It's particularly useful for developers and teams looking to automate parts of their code review workflow, enabling AI-assisted analysis and commenting on GitLab merge requests directly through MCP-compatible clients.

## Trust

- **Trust score (0–1):** 0.65
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/yu-ito-gitlab-review)
- **Repository:** <https://github.com/photosynth-inc/gitlab_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": "yu-ito-gitlab-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yu-ito-gitlab-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yu-ito-gitlab-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