GitLab logo — MCP server on Gumloop

GitLab MCP Server

Connect to the GitLab MCP server to browse repositories, commit code, manage issues and merge requests, and run CI/CD pipelines using AI agents on Gumloop, Claude, or Cursor.

Talk to Sales

Try GitLab now

Type what you want done. Sign in and run it live with an AI agent.

|

GitLab logoGitLab
Gradient

Installation

Get StartedGet Started
1

Create a Gumloop Account

To use this MCP, you need a Gumloop account. If you don't have one yet, you can create one for free.

2

Copy Your Server URL

Copy your MCP server URL and add it to your client. You'll be prompted to authorize on first use.

Tools (98)

  • Get Current User

    Get the authenticated GitLab user's profile.

  • List Projects

    List projects visible to the authenticated user with filtering and pagination.

  • Get Project

    Get a project by ID or namespaced path (e.g. 'mygroup/myproject').

  • List Groups

    List groups visible to the authenticated user with filtering and pagination.

  • Get Group

    Get a group by ID or full path (e.g. 'mygroup' or 'parent/subgroup').

  • List Group Projects

    List projects belonging to a group.

  • List Users

    List or search users by username, search term, or other filters.

  • Get User

    Get a user by ID.

  • Search

    Global search across GitLab. Choose scope to search projects, issues, merge requests, users, commits, code (blobs), milestones, or notes.

  • List Branches

    List branches in a project repository.

  • Get Branch

    Get a single branch in a project repository.

  • Create Branch

    Create a new branch in a project repository from an existing ref.

What is GitLab MCP?

The GitLab MCP server gives AI agents access to your GitLab.com projects. That means agents can browse repositories and search code across projects, read and commit files, create and merge branches, open and review merge requests, track issues end to end, trigger and inspect CI/CD pipelines, and cut tags and releases. It covers the full software-delivery surface in GitLab: projects, branches, commits, files, issues, merge requests, pipelines, jobs, tags, and releases.

If your team spends time clicking through the GitLab UI to triage issues, hand-applying multi-file changes, chasing failing pipelines, or assembling release notes by hand, an AI agent can take over a lot of that busywork. Describe what you need, and your AI agent will handle the GitLab work for you.

MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of registering an OAuth application, juggling access tokens that expire every couple of hours, and coding against the GitLab REST API yourself, you authorize your GitLab.com account through Gumloop once. After that, you can manage your repositories, issues, and pipelines just by chatting with your AI agent.

Related MCP servers

What you can do with GitLab MCP on Gumloop

  • Browse repositories and search code globally

    List projects, groups, and subgroups, walk the repository tree at any ref, read file contents, and run a global search across code, issues, merge requests, and commits. Your AI agent can find the right file or trace where a function lives without you opening GitLab.

  • Manage branches, commits, and source code

    Create and delete branches, commit single files, or push atomic multi-file commits that create, update, delete, move, and chmod in one shot. Cherry-pick, revert, compare refs, and find the merge base between branches, then clean up branches already merged into the default.

  • Run agentic git workflows

    Use execute_git_workflow to run a multi-step server-side git process: clone, apply an ordered list of steps like writing files, applying patches, rebasing, and merging, then push and optionally open a merge request. This handles complex refactors a single-file API call cannot.

  • Track issues, notes, and planning objects

    Create, read, update, and delete issues, then move or clone them across projects, link related issues, and add emoji reactions. Add and edit notes, apply labels and milestones, and list issue boards to keep planning current.

  • Drive the merge request lifecycle

    List and read merge requests, open new ones with reviewers, update them, rebase the source onto the target, and merge with squash or auto-merge on pipeline success. Read per-file diffs and the commits in a request, then add, edit, and react to review comments.

  • Trigger and inspect CI/CD pipelines and jobs

    List, trigger, cancel, and retry pipelines, then drill into individual jobs to play manual steps, retry failures, and read test reports. Pull job logs and download build artifacts into Gumloop storage so an agent can analyze a failure or surface the broken test.

  • Cut tags, releases, and changelogs

    Create tags and releases on a ref, and auto-generate a CHANGELOG section from commit trailers between two refs. List existing tags and releases to keep your version history in view.

  • Administer projects and members

    Fork, star, and unstar projects, archive or unarchive them, and set commit build statuses. List project members and contributors, and add a member with a chosen access level to keep a project’s roster in order.

How to connect the Gumloop GitLab MCP Server

  1. 1

    Create a free Gumloop account

    Sign up at gumloop.com. No credit card required.

  2. 2

    Add the GitLab MCP server

    Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.

  3. 3

    Start using GitLab in your AI workflows

    That's it. Your AI agent can now browse repositories, commit code, manage issues and merge requests, run CI/CD pipelines, and publish releases. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.

GitLab MCP use cases

Automated issue triage for engineering teams

When new issues land, a Gumloop agent can read each one, apply labels and a milestone, assign it based on the area of code it touches, and post a triaged summary to a Slack channel. The team starts the day with a sorted backlog instead of a raw inbox.

AI-assisted code changes for developers

Point an agent at a project and a plain-language change request. It can read the relevant files, run an execute_git_workflow or commit_files to apply a multi-file edit on a new branch, open a merge request with reviewers, and link the originating issue. Engineers review a ready merge request instead of writing the boilerplate change by hand.

CI/CD failure response for platform teams

When a pipeline fails, an agent can pull the failing job’s log and test report, summarize the root cause, post it to the on-call channel, and retry the job if the failure looks transient. Platform teams catch breakages without watching the pipelines view all day.

Release notes and changelog automation for release managers

At release time, an agent can compare the last two tags, generate a changelog from commit trailers, create a tag and a release, and drop a formatted summary into Slack or a Google Doc. Release managers ship notes without stitching commits together by hand.

Cross-platform engineering agents

Chain GitLab with Slack, Gmail, Google Sheets, and other MCP integrations in a single agent. Sync merge request status to a tracking sheet, email a stakeholder when a release ships, or open an issue from an inbound bug report, so GitLab talks to the rest of your stack automatically.

Why use Gumloop for GitLab MCP

  • OAuth handled for you, no tokens to manage

    Most GitLab MCP servers you’ll find on GitHub make you register an OAuth app or mint a personal access token, then refresh it yourself when it expires. With Gumloop you authorize your GitLab.com account once and the connection stays live. GitLab access tokens expire every couple of hours, and Gumloop refreshes them automatically on each request. No OAuth app registration, token juggling, or coding against the GitLab API necessary.

  • Works with multiple MCP clients

    Use the GitLab MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop agents. Same server URL, works with any MCP client.

  • Chain GitLab with 100+ other integrations

    Combine GitLab with Slack, Gmail, Google Sheets, Google Docs, and other MCP integrations in a single AI agent. An agent can pull a failing pipeline log from GitLab, summarize it with an LLM, and post the result to Slack or write it back to an issue.

  • Enterprise-grade and scalable

    Built for teams, with role-based permissions and dedicated support for Pro users. For details on Gumloop’s security practices, see trust.gumloop.com.

  • Pricing includes a free plan

    You can test the GitLab MCP integration on Gumloop’s free tier before committing. Paid plans start at $37/month.

Frequently asked questions

Ship GitLab agents in minutes

Connect any AI agent to 100+ MCP servers, fully hosted, zero setup.
Talk to Sales
Gradient