Docker MCP Toolkit

officiel

Kit officiel Docker MCP Toolkit pour découvrir, configurer et exécuter des serveurs MCP conteneurisés via Docker Desktop et la passerelle Docker MCP.

Voir sur docker.com

Que pouvez-vous faire avec Docker Toolkit MCP ?

  • Parcourir le catalogue MCP — demandez à l'assistant de lister les serveurs disponibles depuis le catalogue Docker MCP en utilisant list_servers.
  • Inspecter un serveur — demandez des détails comme la version, la description et la configuration d'exécution pour un serveur spécifique avec get_server.
  • Gérer les profils — créez, listez ou supprimez des profils de serveurs nommés pour différents projets via create_profile, list_profiles et delete_profile.
  • Ajouter des serveurs à un profil — attachez des serveurs du catalogue à un profil en utilisant add_server_to_profile afin qu'ils soient prêts à être utilisés par les clients IA.
  • Connecter un client — enregistrez une application IA comme Claude Code ou Cursor sur un profil via register_client.

Documentation

Docker MCP Catalog and Toolkit

Model Context Protocol (MCP) is an open protocol that standardizes how AI applications access external tools and data sources. By connecting LLMs to local development tools, databases, APIs, and other resources, MCP extends their capabilities beyond their base training.

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.

Docker MCP features

The MCP Toolkit and MCP Gateway solve 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.

Catalogs are 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 create custom catalogs with approved servers for their teams.

Profiles organize 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 Sales to learn more.

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