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

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    Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.
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    4
    MIT
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    Enables AI assistants to review GitLab merge requests by fetching diffs, analyzing code changes, adding comments, and managing approvals through the GitLab API. Supports comprehensive merge request analysis and version comparison for automated code review workflows.
    3
    MIT
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    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.
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    MIT
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    A production-ready MCP server for GitLab enabling AI assistants to read and manage GitLab projects, merge requests, issues, pipelines, wikis, releases, and more through a unified interface.
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    9
    MIT
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    A comprehensive GitLab MCP server that enables AI clients to manage projects, merge requests, issues, pipelines, wiki, releases, tags, and milestones through multiple transports and authentication methods.
    92,984
    MIT
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    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.
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    MIT
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    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.
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    10
    MIT
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    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.
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    MIT
  • F
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    AI-powered code review tool that detects AI-generated code defects invisible to traditional linters — hallucinated packages, deprecated APIs, cross-file contradictions, hidden security anti-patterns, and over-engineering. Works as a standalone CLI, GitHub Action, or MCP server. Supports TypeScript, Python, Java, Go, and Kotlin. Free for individuals, no API key required.
    4
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