GitLab MCP Server — 90 AI Tools | Claude, ChatGPT & More

GitLab MCP ServerGitLab MCP server with 90 ready-to-use AI tools. Connect GitLab to Claude, ChatGPT, Gemini, or any MCP-compatible AI assistant. Cloud MCP connector — no install, no Docker, works from any browser.Category: Developer Tools. 90 tools available. Authentication: API Key.Your entire DevOps pipeline, one conversation awayWhy GitLab + AI?GitLab has everything -- code, MRs, pipelines, wikis, releases -- but navigating it all takes time. Stop clicking through pipeline logs and MR diffs when AI can fetch exactly what you need instantly.Example prompts you can send your AI about GitLab

Ask: "Why did the latest pipeline fail on the main branch?"
AI does: AI fetches the pipeline, lists failed jobs, and shows the relevant log output so you can diagnose the issue immediately.

Ask: "Create a merge request from feature/auth to develop with a summary"
AI does: AI creates the MR with a title, description, and the branch diff summary for reviewers.

Ask: "Show all open MRs older than a week that need review"
AI does: AI lists merge requests filtered by state and age, highlighting those without approvals.

Ask: "What releases were deployed this month?"
AI does: AI fetches releases with their tags, dates, and changelogs to give you a complete deployment timeline.

Featured GitLab Tools

list-merge-requests: List merge requests from a project or across all accessible projects. Returns MR IID, title, state, source/target branches, and author. EXAMPLES: Open MRs: projectId="42", state="opened". My MRs to review: scope="assigned_to_me". Drafts: draft="yes". MRs targeting main: targetBranch="main". Search: search="auth". WHEN TO USE: User asks "show open MRs", "list merge requests", "what MRs need review?".

list-pipelines: List CI/CD pipelines in a project. Returns pipeline ID, status, ref (branch/tag), SHA, and source. EXAMPLES: Failed pipelines: status="failed". Running: status="running". On main branch: ref="main". Scheduled pipelines: source="schedule". Recent: orderBy="updated_at", sort="desc". WHEN TO USE: User asks "show pipelines", "any failed builds?", "pipeline status", "CI/CD history".

get-pipeline-job-output: Get the log/trace output of a CI/CD job. Returns the complete console output (build logs). This is the key tool for debugging failed pipelines — it shows the actual error messages. STEP-BY-STEP: 1. list-pipelines → find failed pipeline. 2. list-pipeline-jobs → find failed job. 3. get-pipeline-job-output jobId=X → read the error. WHEN TO USE: User asks "why did the pipeline fail?", "show job logs", "what error occurred?".

create-merge-request: Create a new merge request (MR) to propose changes from one branch to another. Returns MR IID and web URL. CRITICAL: Like issues, MRs use IID (the !number in the UI), not global ID. EXAMPLE: projectId="42", title="Add user auth", sourceBranch="feature/auth", targetBranch="main", draft=true. STEP-BY-STEP: 1. Push code to a feature branch. 2. create-merge-request with source and target branches. WHEN TO USE: User asks to "create a merge request", "open an MR", "submit code for review".

list-issues: List issues from a project or across all accessible projects. Returns issue IID, title, state, labels, assignees, and web URL. CRITICAL — IID vs ID: GitLab issues use IID (the #number shown in the UI). All issue tools need issueIid, NOT the global ID. EXAMPLES: Open bugs in a project: projectId="42", state="opened", labels=["bug"]. My assigned issues: scope="assigned_to_me". Issues due soon: orderBy="due_date", sort="asc". WHEN TO USE: User asks "show open issues", "list bugs", "what issues are assigned to me?".

get-file-contents: Read a file from a GitLab repository. Returns the file content, size, encoding, and last commit info. EXAMPLE: Read README: filePath="README.md". Read from a branch: filePath="src/app.ts", ref="develop". CRITICAL: filePath is the FULL path from repo root (e.g., "src/utils/helpers.ts"), NOT just the filename. WHEN TO USE: User asks to "show file X", "read the README", "what does this file contain?".

Frequently Asked Questions about GitLabHow do I connect GitLab to Claude or ChatGPT?Create a free LearnToSpeak.ai account, add your GitLab credentials in the dashboard, and paste the generated OAuth URL into Claude.ai's custom connectors or ChatGPT's developer apps. The integration runs fully in the cloud — no desktop app, no CLI, no local install.Does it cost anything to connect GitLab?The GitLab integration is free during the LearnToSpeak.ai public beta. You only need a paid plan from Anthropic or OpenAI (Claude Pro/Max/Team or ChatGPT Plus/Pro/Team) since custom connectors require it on the AI provider side.Which AI assistants support the GitLab connector?Claude.ai (Pro, Max, Team, Enterprise) and ChatGPT (Plus, Pro, Team) both support the GitLab integration via the MCP (Model Context Protocol) standard. The same credentials work across both platforms — add the connector once, use it everywhere.How many GitLab tools does my AI get access to?Your AI gets 90 ready-to-use tools for GitLab, covering the most common read and write operations. Each tool is a discrete action the AI can call on demand — no multi-step prompting, no screen scraping, no workarounds.Is it safe to give an AI access to my GitLab account?Yes. Your GitLab credentials are encrypted at rest with AES-256-GCM and only decrypted in memory when the AI makes a request. LearnToSpeak.ai uses OAuth 2.1 with mandatory PKCE for the AI-to-platform connection, and you can revoke access instantly from the dashboard. We never store or log the actual tool responses returned to the AI.Why use LearnToSpeak.ai instead of running an MCP server locally?Cloud MCP servers work from any browser on any device — no Node.js install, no Docker, no local ports, no maintenance. Configure GitLab once in the dashboard and your AI connects from claude.ai or chat.openai.com directly. That's the entire value proposition: web AI assistants don't read your filesystem, they read our servers.What is the GitLab MCP server?The GitLab MCP server is a cloud-hosted integration that gives AI assistants direct access to GitLab through 90 tools via the Model Context Protocol (MCP) standard. It works with Claude, ChatGPT, Gemini, and any MCP-compatible AI — no local installation or Docker required.How do I connect GitLab to Claude via MCP?Sign up at LearnToSpeak.ai, add your GitLab credentials, and copy the generated MCP URL into Claude.ai's custom connectors (Settings → Developer → Custom Connectors). The cloud MCP server handles the connection — no CLI, no local server, no Docker.How do I connect GitLab to ChatGPT via MCP?Sign up at LearnToSpeak.ai, add your GitLab credentials, and copy the generated MCP URL into ChatGPT's developer apps (Settings → Apps → Advanced → Developer mode). Works with any ChatGPT Plus, Pro, or Team account.What can AI do with GitLab through MCP?GitLab offers 90 MCP tools covering Manage repositories, issues, merge requests, pipelines, and CI/CD workflows. Ask your AI to perform any of these actions in natural language — it calls the right tool automatically.What is MCP (Model Context Protocol)?MCP is an open standard that lets AI assistants like Claude, ChatGPT, and Gemini connect directly to external apps and services. LearnToSpeak.ai hosts cloud MCP servers so you don't need to install anything locally — your AI connects from any browser.Related MCP Servers

GitHub MCP Server — 44 tools

NetBox MCP Server — 179 tools

Cisco CPNR MCP Server — 36 tools

Grafana MCP Server — 50 tools

Graylog MCP Server — 12 tools

Browse all 34 MCP servers