# GitLab CI

> Use this tool when you need to automate and manage continuous integration and deployment pipelines, or interact with GitLab repositories and projects. It solves problems such as streamlining development workflows, automating testing and deployment, and accessing repository files. With 23 tools covering pipeline management, branch operations, and merge requests, it provides a comprehensive interface for inputs like pipeline schedules and outputs like build statuses.

Canonical page: https://skillsregistry.net/skills/mshegolev-gitlab-ci  
JSON: https://api.skillsregistry.net/v1/skills/mshegolev-gitlab-ci

## Description

Enables AI agents to interact with GitLab CI/CD systems through 23 tools covering pipeline management, schedule creation, branch and tag operations, merge request handling, and repository file access. Supports both SaaS GitLab and self-hosted instances including corporate environments with proxy requirements. Built on FastMCP with the python-gitlab library.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mshegolev-gitlab-ci)
- **Repository:** <https://github.com/mshegolev/gitlab-ci-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": "mshegolev-gitlab-ci"
    }
  }
}
```

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