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GitLab MCP Server

GitLab MCP Server

GitLab MCP Server is a Model Context Protocol server that enables AI assistants to interact with GitLab through natural language. Ask your AI to create issues, review merge requests, analyze pipelines, and much more — all without leaving your editor.

What can it do?

Section titled “What can it do?”

Instead of switching between your editor and GitLab’s web UI, just ask:

Show me all open merge requests in my-project that need review
Why did the pipeline fail on branch feature/auth? Summarize the error and suggest a fix
Create an issue titled "Refactor auth module" with priority label and assign it to me

The server translates these requests into GitLab API calls, executes them, and returns structured results your AI assistant can understand and act upon.

Key features

Section titled “Key features”
FeatureDetails
42+ Meta-ToolsDomain-grouped tools covering projects, issues, merge requests, pipelines, CI/CD, wikis, releases, and more
11 Analysis ToolsAI-powered analysis via MCP sampling — pipeline failure diagnosis, MR security review, technical debt detection
24 MCP ResourcesRead-only data endpoints for project info, user profiles, server configuration
38 MCP PromptsPre-built prompt templates for reports, audits, cross-project analysis, and team workflows
Multi-User HTTP ModeDeploy as a shared server with per-token isolation for team environments
GitLab CE & EECompatible with both Community Edition and Enterprise Edition, including self-hosted instances
Enterprise ToolsOptional 15 additional tools for GitLab Premium/Ultimate features (DORA metrics, vulnerabilities, compliance)
Auto-UpdateBuilt-in self-update mechanism — always run the latest version
Cross-PlatformSingle binary for Linux, macOS, and Windows (amd64 & arm64)

Quick example

Section titled “Quick example”

You: “What merge requests are open in my-org/backend and who’s assigned?”

AI Assistant (via GitLab MCP Server):

Found 3 open merge requests in my-org/backend:

MRTitleAuthorAssigneePipeline
!142Add rate limiting middleware@alice@bob✅ passed
!139Fix N+1 query in /users@charlie@alice❌ failed
!137Update OpenAPI spec@bob—⏳ running

!139 has a failed pipeline — would you like me to analyze the failure?

You: “Yes, check why !139 failed”

AI Assistant:

Pipeline #8847 failed at the test stage, job unit-tests:

FAIL: TestUserService_ListUsers — expected 10 results, got 15

The N+1 fix changed the query to return all results without applying the default pagination limit. Suggested fix: Add .Limit(defaultPageSize) to the query in user_repository.go:87.

Without vs with GitLab MCP Server

Section titled “Without vs with GitLab MCP Server”
❌ Without✅ With GitLab MCP Server
Code reviewSwitch to GitLab UI, read diffs, write comments manually”Review the security of MR !142 and leave comments”
Pipeline debuggingOpen pipeline logs, trace failing jobs, search for errors”Why did the pipeline fail on feature/auth?”
Issue managementNavigate to Issues, fill forms, assign labels one by one”Create a P1 bug for the auth regression and assign to @alice”
Release notesRead every commit since last tag, write changelog by hand”Generate release notes for v2.1.0 vs v2.0.0”
Project overviewOpen multiple tabs: MRs, issues, pipelines, milestones”Give me a status report for my-org/backend”

Example prompts

Section titled “Example prompts”

Try these with your AI assistant once GitLab MCP Server is connected:

Projects & Code

  • “List my GitLab projects”
  • “Show the README of project my-app”
  • “Search for TODO comments across the codebase”

Merge Requests & Code Review

  • “Show open merge requests in my-app”
  • “Summarize the changes in MR !42”
  • “Is MR !15 safe to merge? Check for security issues”

Issues & Planning

  • “List open issues assigned to me”
  • “Create a bug report titled ‘Fix login page’ with label ‘bug’”
  • “What’s the progress on milestone v2.0?”

CI/CD & Pipelines

  • “What’s the latest pipeline status for my-app?”
  • “Why did the last pipeline fail?”
  • “Show the CI variables for project my-app”

Reports & Analysis

  • “Generate release notes from v1.0 to v2.0”
  • “Give me a daily standup summary”
  • “Assess the risk of merge request !23”

Get started

Section titled “Get started”
Getting Started Install the binary and connect to your first AI client in minutes
Architecture Understand how the server connects AI assistants to GitLab
Configuration Environment variables, client configs, and deployment options
Tools Reference Browse all available MCP tools by domain

How it works

Section titled “How it works”
graph LR
    A[You] -->|natural language| B[AI Client]
    B -->|MCP protocol| C[GitLab MCP Server]
    C -->|REST API v4| D[GitLab Instance]
    D -->|JSON response| C
    C -->|structured result| B
    B -->|formatted answer| A

The server acts as a bridge: your AI client sends tool calls over the MCP protocol, the server translates them into GitLab REST API requests, and returns the results in both structured JSON (for the AI) and formatted Markdown (for you).

Supported AI clients

Section titled “Supported AI clients”

GitLab MCP Server works with any MCP-compatible client:

  • VS Code + GitHub Copilot — via mcp.json configuration
  • Claude Desktop — via claude_desktop_config.json
  • Cursor — via .cursor/mcp.json
  • Claude Code — via claude code mcp add
  • Any MCP client — stdio or HTTP transport