Docker MCP Toolkit
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Official Docker MCP Toolkit for discovering, configuring, and running containerized MCP servers through Docker Desktop and the Docker MCP gateway.
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- Developer Tools, Other, Infrastructure
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Official Docker MCP Toolkit for discovering, configuring, and running containerized MCP servers through Docker Desktop and the Docker MCP gateway.
What can you do with Docker Toolkit MCP?
- Browse the MCP catalog— ask the assistant to list available servers from the Docker MCP Catalog usinglist_servers.
- Inspect a server— request details like version, description, and runtime configuration for a specific server withget_server.
- Manage profiles— create, list, or delete named server profiles for different projects viacreate_profile,list_profiles, anddelete_profile.
- Add servers to a profile— attach catalog servers to a profile usingadd_server_to_profileso they're ready for AI clients to use.
- Connect a client— register an AI application like Claude Code or Cursor to a profile throughregister_client.
The challenge is that running MCP servers locally creates operational friction. Each server requires separate installation and configuration for every application you use. You run untrusted code directly on your machine, manage updates manually, and troubleshoot dependency conflicts yourself. Configure a GitHub server for Claude, then configure it again for Cursor, and so on. Each time you manage credentials, permissions, and environment setup.
TheMCP ToolkitandMCP Gatewaysolve these challenges through centralized management. Instead of configuring each server for every AI application separately, you set things up once and connect all your clients to it. The workflow centers on three concepts: catalogs, profiles, and clients.
Catalogsare curated collections of MCP servers. The Docker MCP Catalog provides 300+ verified servers packaged as container images with versioning, provenance, and security updates. Organizations can createcustom catalogswith approved servers for their teams.
Profilesorganize servers into named collections for different projects. Your "web-dev" profile might use GitHub and Playwright; your "backend" profile, database tools. Profiles support both containerized servers from catalogs and remote MCP servers. Configure a profile once, then share it across clients or with your team.
Clients are the AI applications that connect to your profiles. Claude Code, Cursor, Zed, and others connect through the MCP Gateway, which routes requests to the right server and handles authentication and lifecycle management.
[!NOTE] MCP Gateway as part of Docker AI Governance is an invite-only feature.Contact Docker Salesto learn more.
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
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