# GitLab MCP

> GitLab MCP — amalychev-gitlab-mcp. Use this tool when you need to integrate AI models with GitLab repositories, issues, and projects, or automate tasks across GitLab's ecosystem, including reading attachments like screenshots. It provides 85 tools for tasks such as managing issues, merge requests, and CI/CD pipelines, supporting both gitlab.com and self-hosted instances. This integration enables AI agents to interact with GitLab data, including files and images, to solve problems and enhance development workflows.

Canonical page: https://skillsregistry.net/skills/amalychev-gitlab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amalychev-gitlab-mcp

## Description

MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t4c0lzipld)
- **Repository:** <https://github.com/amalychev/gitlab-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": "amalychev-gitlab-mcp"
    }
  }
}
```

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

---
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
