# GitLab

> Use this tool when you need to automate GitLab workflow management, streamline code review processes, or integrate GitLab's collaboration features into AI-assisted development. It provides core functionalities such as merge request management, code review workflows, and access to review discussions and approval data through a Python-based interface with async HTTP client support. Ideal for development teams, code reviewers, and organizations seeking to enhance their GitLab workflows with AI-powered automation.

Canonical page: https://skillsregistry.net/skills/amirsina-mandegari-gitlab  
JSON: https://api.skillsregistry.net/v1/skills/amirsina-mandegari-gitlab

## Description

This MCP server provides AI assistants with GitLab integration capabilities for merge request management and code review workflows, built using Python with async HTTP client support and comprehensive error handling. The implementation offers four core tools: listing merge requests with filtering by state and target branch, retrieving detailed merge request information including pipeline status and change statistics, accessing review discussions and approval data, and finding merge requests associated with specific branches. Built with environment-based configuration, proper GitLab API authentication using private tokens, and structured JSON responses, it serves development teams needing AI-powered GitLab workflow automation, code reviewers requiring programmatic access to merge request data, and organizations wanting to integrate GitLab's collaboration features into their AI-assisted development processes.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/amirsina-mandegari-gitlab)
- **Repository:** <https://github.com/amirsina-mandegari/gitlab-mr-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": "amirsina-mandegari-gitlab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amirsina-mandegari-gitlab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amirsina-mandegari-gitlab/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