Docker MCP Toolkit

공식

Docker Desktop 및 Docker MCP 게이트웨이를 통해 컨테이너화된 MCP 서버를 검색, 구성 및 실행하기 위한 공식 Docker MCP 툴킷입니다.

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Docker Toolkit MCP(으)로 무엇을 할 수 있나요?

  • MCP 서버 관리 중앙화 — AI 어시스턴트에게 단일 Docker 호스팅 허브를 설정하도록 요청하여 모든 AI 앱이 앱별 설정 대신 하나의 구성을 공유하게 하세요.
  • 선별된 서버 카탈로그 사용 — 어시스턴트가 버전 관리와 보안 업데이트가 포함된 300개 이상의 검증된 컨테이너화된 MCP 서버에서 가져오도록 하거나, 팀을 위한 맞춤형 카탈로그를 생성하세요.
  • 서버를 프로필로 구성 — 어시스턴트에게 서버(예: 웹 개발용 GitHub 및 Playwright)를 이름 있는 프로필로 그룹화하도록 요청하여 여러 클라이언트에서 재사용하거나 팀원과 공유하세요.
  • 게이트웨이를 통해 AI 클라이언트 연결 — 어시스턴트에게 Claude Code, Cursor 또는 Zed의 요청을 MCP 게이트웨이를 통해 라우팅하여 중앙 집중식 인증 및 수명 주기 관리를 수행하도록 지시하세요.

문서

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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