"How to review merge requests in GitLab" matching MCP servers:

Enables interaction with GitLab projects, merge requests, issues, and code reviews through Claude AI, providing tools for code review and project management.

MCP server for GitLab that enables AI assistants to manage CI pipelines, job logs, repositories, branches, merge requests, and commits via the GitLab REST API.

MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.

MCP server for GitLab REST API enabling AI agents to manage pipelines, merge requests, diffs, and local reviews.

Enables interacting with GitLab repositories, merge requests, and code through natural language using MCP. Supports authentication with personal access tokens or OAuth2, and provides tools for listing projects, reading repository code, and analyzing merge request lifetimes.

First gitlab mcp for you, building together

A Model Context Protocol server for GitLab that provides AI agents structured access to projects, repositories, issues, merge requests, pipelines, and releases, with read-only defaults and operational controls.

A FastMCP server for GitLab 16.x that enables project, MR, pipeline, and commit queries, bugfix contribution summaries, release notes drafts, and comprehensive Runner management.

A TypeScript MCP server that provides integration with GitLab's REST API, allowing users to interact with GitLab projects, issues, merge requests, pipelines, and more through natural language.

A Model Context Protocol server that enables AI assistants to interact with self-hosted GitLab instances through 30 specialized tools. It supports managing projects, merge requests, CI/CD pipelines, and repository operations via the GitLab REST API v4.

Enables secure interaction with GitLab instances through MCP, supporting projects, merge requests, issues, pipelines, and search.

MCP server for interacting with GitLab API, supporting dynamic tool selection and enterprise-grade security.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

Enables multiple AI coding tools to collaboratively review code by sharing a SQLite-backed board, allowing them to create threads, post and reply to comments, list threads, and update statuses through MCP.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

Mines public App Store and Steam reviews to surface the complaints, rating drops per version, and common pain points across one app or a set of competitors, with no API keys required. Enables natural-language comparison of up to eight apps or games by country and category so users can spot product opportunities and gaps.

AI-powered code review using Zhipu GLM. It gathers git diffs and source context to provide focused code reviews.

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.

Enables AI-powered exploration and interaction with GitLab instances through comprehensive search, code browsing, and repository management. Supports both self-hosted and GitLab.com with flexible authentication for read and write operations.

Provides tools to interact with a self-hosted GitLab instance, enabling project, issue, note, search, todo, and wiki page management through MCP.