What deployment options are available for GitLab MCP?

GitLab MCP supports multiple deployment options, including `stdio` for local CLI usage and `Streamable HTTP` for remote, multi-user deployments. It also offers enterprise networking features like proxy support and Docker compatibility for containerized setups.

Which AI assistants and clients are supported by GitLab MCP?

It supports a wide range of MCP clients including Claude Desktop, Claude Code, VS Code, GitHub Copilot Chat, Cursor, JetBrains AI Assistant, GitLab Duo, and any client compatible with stdio or Streamable HTTP.

How does GitLab MCP ensure secure access to GitLab resources?

Security is managed through flexible authentication methods like Personal Access Tokens (PAT), OAuth 2.0 PKCE, and remote per-request authorization. A robust policy engine also allows fine-grained access control, read-only modes, tool allowlisting/denylisting, and project-scoped restrictions.

What GitLab resources can AI assistants manage with this tool?

AI assistants gain comprehensive access to GitLab resources, including projects, merge requests (with code context analysis), issues, pipelines, wikis, milestones, releases, labels, commits, branches, GraphQL, and file management.

GitLab

Name: GitLab
Author: mcpland

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Enables AI assistants to safely manage and interact with GitLab projects, merge requests, and other resources through a unified, policy-controlled interface.