A
licenseA
qualityC
maintenanceConnects AI assistants to GitLab, allowing users to manage merge requests, view reviews, and interact with discussions through natural language queries.
12
25
MIT
73,107 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
io.github.pipeworx-io
io.github.pipeworx-io
io.github.jmrplens
com.howtoreadthefuture
"How to access and read GitLab repositories" matching MCP servers:
- Alicense-qualityCmaintenanceA TypeScript-based MCP server that enables code search, file reading, and project management via the GitLab API.171ISC
- Alicense-qualityBmaintenanceAn 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.703MIT
- Flicense-qualityCmaintenanceMCP server enabling AI assistants to understand GitLab repositories through on-demand source code analysis using specialized AI agents.
- AlicenseAqualityBmaintenanceWraps GitLab Duo CLI as an MCP tool for code review, enabling agents to get structured Duo reviews via duo_review.18MIT
- MIT
- Alicense-qualityAmaintenanceTurns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.1MIT
- AlicenseBqualityCmaintenanceEnables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.4MIT
- Alicense-qualityCmaintenanceEnables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.145MIT
- Alicense-qualityDmaintenanceEnables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.40MIT
- Flicense-qualityDmaintenanceAn MCP server that connects to your GitHub repositories, detects API changes, and provides context for Cursor to automatically generate test cases.
- AlicenseAqualityBmaintenanceConverts vector PDF circuit schematics into evidence-preserving SchematicIR JSON with tools to inspect, convert, and validate schematic PDFs.3MIT
- FlicenseAqualityDmaintenanceEnables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.9
- Alicense-qualityDmaintenanceSecure 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.1MIT
- Alicense-qualityCmaintenanceEnables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.55244MIT
- AlicenseAqualityCmaintenanceEnables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.5MIT
- AlicenseAqualityCmaintenanceEnables AI agents to prospect across GitHub, PyPI, and npm, searching repositories, packages, and code patterns with read-only tools.73MIT
- AlicenseAqualityDmaintenanceEnables Claude to explore and analyze remote Git repositories, providing structured file contents and token estimates.4MIT
- AlicenseAqualityCmaintenanceProvides AI assistants with secure, read-only access to ShadowGit repositories for debugging and code analysis. Enables powerful analysis of fine-grained git history captured automatically by ShadowGit's continuous commit tracking.5949MIT
- FlicenseAqualityDmaintenanceAn MCP server that packs repositories into AI-friendly files using the Repomix tool, supporting local and remote repositories with size estimation and compression. It enables users to efficiently feed entire codebases into AI models while managing context window limits.2