发现为 GitLab 构建的 36 个 MCP。
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).
Enables interaction with GitLab repositories, issues, and merge requests through the Model Context Protocol.
Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.
Integrate AI assistants with GitLab to enable conversational access to merge request information, reviews, and discussions.
Integrates with GitLab to provide RESTful API tools for managing users, projects, merge requests, and more.
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.
Connects to a GitLab project and provides pipeline failure information and merge request details to AI assistants.
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.
Enhances GitLab servers with merge request review comment posting functionality.
Integrates with GitLab instances to provide robust API access via RESTful endpoints, especially useful for Large Language Model plugins.
Manages GitLab Kanban board operations through the Model Context Protocol.
Automates GitLab CI/CD workflows using an AI-powered multi-agent system that interprets natural language commands.
Provides a Model Context Protocol (MCP) server for deep integration with GitLab functionalities.
Provides a basic implementation of a Model Context Protocol (MCP) server using .NET.
Integrates AI assistants with GitLab's merge requests to facilitate automated code review processes.
Enables interaction with GitLab API through a command-line interface.
Enables AI assistants to seamlessly interact with GitLab repositories.
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