"GitLab" matching MCP servers:

An MCP server that enables AI agents to perform automated code reviews on GitLab merge requests, including fetching details, reading diffs, posting inline comments, managing labels, and approving or unapproving MRs.

Connects AI assistants to GitLab, allowing users to manage merge requests, view reviews, and interact with discussions through natural language queries.

A TypeScript-based MCP server that enables code search, file reading, and project management via the GitLab API.

MCP server enabling AI assistants to understand GitLab repositories through on-demand source code analysis using specialized AI agents.

Wraps GitLab Duo CLI as an MCP tool for code review, enabling agents to get structured Duo reviews via duo_review.

Enables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.

Provides ChatGPT read-only access to inspect repositories, code, merge requests, pipelines, and CI logs on self-managed GitLab instances, including those reachable only from a private network or VPN.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

myopic is a code-review MCP server that reviews GitLab/GitHub merge requests against the whole codebase, not just the diff, analyzing blast radius and conventions.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Enables AI assistants to scan multiple services and local filesystems for leaked secrets using n0s1 secret-scanning capabilities.

Enables AI assistants to review GitHub and GitLab pull requests and merge requests, supporting multiple transports and custom review rules.

Connects LLMs to GitHub and GitLab to analyze pull and merge requests for logic, security, and architectural alignment. It provides tools for fetching diffs, file contents, and project metadata, alongside guided prompts for professional code reviews.

MCP server for the Tiangong page designer, providing code diagnostics, configuration recommendations, and knowledge search via GitLab API.

A MCP server that transforms code repositories from GitHub, GitLab, or local directories into LLM-friendly formats, preserving context and structure for better AI processing.

Hosted MCP server that enables AI code reviews on GitHub, GitLab, Azure DevOps, and Bitbucket PR/MR URLs via a single tool (review_url_code), integrating with Cursor, Claude Code, Claude Desktop, and GitHub Copilot through OAuth or Bearer token authentication.

Secure multi-source MCP server for reading local, GitHub, GitLab, Bitbucket, and network source code with read-only-by-default access, enabling AI assistants to inspect repositories safely.

Enables pull request review, risk rating, and improvement suggestions directly inside MCP clients by pasting a GitLab/GitHub URL; it can post review comments back to the PR/MR.

Enables automated AI-powered code review for pull requests across GitHub, GitLab, Bitbucket, and Azure DevOps via webhooks, and manual code review through MCP tools using Groq, Claude, or GPT-4.

Enables manual review of GitLab Merge Requests and GitHub Pull Requests, loading context, generating comment previews, and preparing commit-based fixes for unresolved threads. Every write — comments, replies, and commits — requires explicit user confirmation and an approved preview before it is published.