Discover 42 MCPs built for GitLab.
Enables programmatic interaction with GitLab repositories and resources via a Model Context Protocol server.
Provides an all-in-one Model Context Protocol (MCP) server with AI search, RAG, and integrations for services like GitLab, Jira, and Confluence.
Enables AI agents to interact with GitLab merge requests and issues via the Model Context Protocol (MCP).
Integrates AI assistants with GitLab merge requests to facilitate code review.
Enables interaction with GitLab repositories, issues, and merge requests through the Model Context Protocol.
Integrate AI assistants with GitLab to enable conversational access to merge request information, reviews, and discussions.
Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.
Provides a Pythonic wrapper for the GitLab API and functions as an MCP Server for agentic AI to manage GitLab resources.
Integrates a Model Context Protocol (MCP) server for GitLab within the Zed editor.
Provides a Model Context Protocol server to integrate GitLab and Jira, enabling AI agents to interact with development and project management workflows.
Integrates with GitLab to provide RESTful API tools for managing users, projects, merge requests, and more.
Provides comprehensive integration with GitLab's REST API, enabling interaction with projects, issues, merge requests, and CI/CD through a fully-typed TypeScript Model Context Protocol (MCP) server.
Automates GitLab CI/CD workflows using an AI-powered multi-agent system that interprets natural language commands.
Manages GitLab Kanban board operations through the Model Context Protocol.
Enhances GitLab servers with merge request review comment posting functionality.
Integrates AI assistants with GitLab to enable automated code review, comment posting, and merge request management.
Provides an MCP server for AI agents to interact with GitLab, offering extensive tools for repository, issue, merge request, and pipeline management.
Enables users to interact with AI models using custom data sources.
Provides a Model Context Protocol (MCP) server for deep integration with GitLab functionalities.
Enables AI assistants to seamlessly interact with GitLab repositories.
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