"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.

Provides full control over GitLab epics, issues, merge requests, pipelines, and more via a conversational interface, with dry-run safety.

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

MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.

Enables GitLab repository management, including branches, merge requests, issues, pipelines, and more through natural language.

Enables interaction with GitLab repositories through natural language, supporting project management, issue tracking, merge requests, file access, and repository operations. Includes a conversational agent interface with structured outputs for comprehensive GitLab workflow automation.

The Token-Curated GitLab MCP Server: 80%+ Context Window Savings. Every time your agent fetches a pipeline with other servers, it wastes 1,600 tokens of avatar URLs, internal links, and HTML fluff. With @sumirati/mcp-gitlab, that drops from 1,840 to 190 tokens.

Enables an assistant to work inside gitlab.com projects as the signed-in user: issues, merge requests, code reviews, repositories, CI pipelines and job logs, plus optional gated toolsets for wiki, snippets, releases, planning, deployments and activity. It authenticates through a user-supplied OAuth application with the token kept in the OS keyring, and registers only the tools that are switched on.

Enables AI agents to interact with GitLab repositories, allowing them to manage merge requests and issues including listing projects, fetching MR details and diffs, adding comments, and updating MR titles and descriptions.

Enables AI agents and MCP clients to manage projects, merge requests, issues, pipelines, wiki, releases, tags, milestones, and more through stdio, SSE, or Streamable HTTP with PAT/OAuth authentication.

Enables project management and repository operations on GitLab through the GitLab API, including file operations, branch management, issue creation, merge requests, and repository forking with support for both GitLab.com and self-hosted instances.

An MCP server for the GitLab API that enables comprehensive project management, file operations, and issue tracking. It supports automated branch creation, batch file pushes, and interaction with merge requests and CI/CD logs.

Enables GitLab integration through MCP, supporting code review and project management via natural language.

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.

MCP Server for the GitLab API, enabling project management, file operations, and more.

An MCP server that provides comprehensive access to the GitLab API for project management, repository operations, and issue tracking. It enables users to perform file operations, manage branches, and coordinate organization-wide workflows through project and group-level milestones.

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.

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

An MCP server that enables deterministic supplier quality engineer review of PPAP cases through structured state management, tools, and an interactive workbench UI within Langdock, with human approval authority.

Enables AI assistants to interact with the GitLab API, providing over 1000 tools for managing groups, projects, users, and more through natural language.

Enables a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

A Model Context Protocol server that enables management of GitLab Kanban boards through tools for listing, creating, updating, and deleting tasks, as well as adding comments.

This MCP server connects GitLab projects and merge requests with Jira work tracking, Confluence pages, and Grafana dashboards. It provides read-only access to GitLab, Confluence, and Grafana, while Jira mutations require explicit confirmation.

A Korean-centric MCP server for storing code review results and managing tasks, integrating with LLMs like Claude for review generation.

Enables seamless integration with GitLab and Jira Server/Data Center via MCP, using Bearer token authentication and REST API v2, supporting both on-premise instances.

Enables agentic co-authoring of feature specs, decomposition into architecture-validated tickets, and idempotent syncing to Linear as projects with epics, sub-issues, and dependencies.

Lets AI agents turn a repository's git history into proposed GitHub issues grouped into units of work, each with a commit checklist and links, then create and close them only after approval. Planning is read-only and creation defaults to a dry run, skipping anything that already exists.

A read-only MCP server that exposes Zephyr Scale Cloud test data to review a Jira story's test coverage, answering whether tests are adequate and passing.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.