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Vinkius

GitLab Connector for AI agents.

16 live capabilities

Manage your DevSecOps lifecycle and project issues with your AI agent.

Live agent request GitLab / Connector

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AI Agent

Why people use GitLab

GitLab for DevSecOps Pipeline Management

With this Connector, your agent handles the data fetching for you. You just ask for the status of a project or a specific file, and the agent pulls it instantly. You get a unified workspace where your AI actually knows what's happening in your pipeline.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct line of communication between your AI agent and your GitLab project data.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Troubleshooting failed builds

    When a deployment fails, ask your agent to check the status of the latest pipelines for a specific project ID to identify the error.

  2. Real-world use case 02

    Finding security patches

    Search your entire GitLab instance for issues containing 'security patch' to quickly locate relevant bug reports across all teams.

  3. Real-world use case 03

    Logging new bugs

    Instead of opening a browser, tell your agent to open a new issue in your current project with a title and description.

Complete set · 16capabilities

The complete GitLab capability set.

These are the exact actions your AI can choose when you ask it to work with GitLab.

Capability set01 / 04

01—04

4 capabilities in this set.

Part of 16 available through GitLab.

  1. 01 Capability

    Verify api connection

    Check if the Connector can talk to your GitLab instance. It ensures your credentials work before you start.

  2. 02 Capability

    Get my gitlab profile

    Fetch your own profile information. Use this to check permissions or account details.

  3. 03 Capability

    List visible groups

    See which groups you have access to. It helps your agent navigate the organization's structure.

  4. 04 Capability

    List project issues

    List all the issues in a project. Use this to get a quick overview of the current backlog.

Capability set02 / 04

05—08

4 capabilities in this set.

Part of 16 available through GitLab.

  1. 05 Capability

    Create project issue

    Open a new issue in a specific project. Use this to log bugs or tasks from your chat.

  2. 06 Capability

    Get repository file

    Read the text inside a specific file. This gives your agent the exact code context it needs.

  3. 07 Capability

    Get project details

    Get the metadata for a specific project. It provides the high-level context your agent needs.

  4. 08 Capability

    List merge requests

    See all the merge requests in a project. It's perfect for reviewing active work.

Capability set03 / 04

09—12

4 capabilities in this set.

Part of 16 available through GitLab.

  1. 09 Capability

    List project pipelines

    Get a list of CI/CD pipelines. Use this to monitor build and deployment health.

  2. 10 Capability

    List project forks

    See all the forks of a project. This helps you track variations of the codebase.

  3. 11 Capability

    List visible projects

    See all the projects you can access. It gives the agent a map of your workspace.

  4. 12 Capability

    Search gitlab global

    Search for any artifact across your entire GitLab instance. It's the fastest way to find specific data.

Capability set04 / 04

13—16

4 capabilities in this set.

Part of 16 available through GitLab.

  1. 13 Capability

    Create merge request

    Create a new merge request with a title. This helps you move code into production faster.

  2. 14 Capability

    Get merge request

    Get the details of a specific merge request using its IID. It's the best way to see what's being changed.

  3. 15 Capability

    List branches

    See every branch in a project repository. Use this to stay organized on complex projects.

  4. 16 Capability

    List project members

    See who is part of a specific project. This helps with identifying team permissions.

Set up in minutes

One URL. Then ask GitLab to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use GitLab from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_HGGz1cvvAiFURJr2VDrjPMYuMzSMVPMdXMuy8wQ8/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it GitLab, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable GitLab for the conversation.

Where the request belongs

Work GitLab can move forward.

Built around the request

This is for the DevOps engineer who's tired of clicking through dashboards at 2am, the tech lead managing a dozen repos, and the project manager who needs real-time status updates without bugging the dev team.

01

DevOps Engineer

Monitors pipeline health and audits file contents for security issues on a Tuesday afternoon.

02

Tech Lead

Reviews merge requests and manages project branches across multiple repositories to keep the team on track.

03

Project Manager

Tracks issue lifecycles and summarizes project activity for stakeholders without manual data entry.

When one Connector is not enough

Combine GitLab with the systems that finish the task.

View all recipes
01

Debug CI Pipeline Failures Faster Using MCP

Your CI pipeline takes 47 minutes and nobody knows which step is the bottleneck , your AI agent analyzes every build, identifies the slow steps, and posts a weekly efficiency report

 02

MCP Recipe for Container Vulnerability Scanning

Pipelines scanned, base images audited, vulnerability records created, remediation tracked , manage your container security without a CSPM capability

 03

Connectors That Auto-Generate Pipeline Docs

Pipeline fails tracked, documentation cross-checked, team notified , engineering visibility without status meetings

 04

Track Engineering Metrics Using Connectors

Merge request velocity measured, pipeline success rates tracked, cycle time calculated, team metrics published , build your DORA dashboard without a BI capability

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Coding.net logo
01 10 capabilities

Coding.net

All-in-one DevOps platform. manage projects, repositories, and issues via AI.

View Connector
GitHub logo
02 12 capabilities

GitHub

Manage repositories, pull requests, issues, and CI/CD workflows on the world largest developer collaboration platform.

View Connector
Bitbucket logo
03 10 capabilities

Bitbucket

Manage your Git repositories via Bitbucket. list pull requests, commits, and pipelines directly from any AI agent.

View Connector
Gitee logo
04 10 capabilities

Gitee

Collaborative code hosting and development platform. manage repositories, issues, and pull requests via AI.

View Connector
AppVeyor logo
05 28 capabilities

AppVeyor

Manage CI/CD pipelines, users, roles, and collaborators on AppVeyor directly from your AI agent.

View Connector
Gitea logo
06 10 capabilities

Gitea

Manage self-hosted Git via Gitea. list and manage repositories, track issues and pull requests, handle organizations, and audit branches directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep GitLab connected.

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Before you connect

Questions about GitLab.

The practical details behind the request, access and result.

Can the GitLab MCP help me manage my CI/CD pipelines?

Yes, it lets your agent see pipeline status and monitor build health in real-time so you can track deployments without leaving your chat.

How does the GitLab MCP help with project management?

It allows your agent to create new issues, list merge requests, and fetch project metadata, making it easier to stay on top of your backlog.

Can I use the GitLab MCP to read my code files?

Yes, your agent can fetch specific file contents from your repository to provide context for debugging or code reviews.

Does the GitLab MCP work with my private GitLab instance?

Yes, it works with any GitLab instance as long as you provide your Base URL and a Personal Access Token in the setup.

Can I search for issues across multiple projects with GitLab MCP?

Yes, the global search capability lets your agent scan across projects, issues, and users to find specific artifacts quickly.

Is the GitLab MCP good for DevOps automation?

It's a great capability for DevOps engineers who need to automate the retrieval of file contents, project metadata, and pipeline health for auditing.

How do I get a Personal Access Token (PAT) for GitLab?

Log in to GitLab, go to User Settings > Access Tokens, and you can generate a new token with the 'api' scope there.

Does this support self-hosted GitLab instances?

Yes! Simply provide your instance's root URL (e.g., https://gitlab.my-company.com) in the 'GitLab Base URL' credential field.

What is a 'Project ID' in GitLab?

A Project ID is a unique numerical identifier for your project. You can also use the URL-encoded path (e.g., 'group%2Fproject') in most capabilities.

Can I see pipeline failures via the agent?

Yes! Use the 'list_project_pipelines' capability to retrieve the status of all recent pipelines, allowing you to quickly identify failed builds.

One connection away

Give your agent a direct line to GitLab.

Connect GitLab once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available