Docker

MCP

Docker launches MCP Toolkit to connect Claude Desktop with containerised servers

Docker’s new MCP Toolkit allows developers to run Model Context Protocol (MCP) servers in secure containers and link them directly to Claude Desktop. The launch enables AI assistants like Claude to perform real-world tasks through controlled, reproducible environments that integrate with developer tools and APIs.

Georg S. Kuklick

November 9, 2025

Docker has released the MCP Toolkit, a set of utilities that connect containerised MCP servers to Claude Desktop. The integration bridges conversational AI models and developer workflows by allowing AI to execute actions within isolated Docker containers. It expands Docker’s developer ecosystem into AI-driven productivity.

The MCP Toolkit provides a catalogue of ready-to-use servers, including GitHub, Firecrawl, Node.js Sandbox, Sequential Thinking, and Context7. Each runs in its own Docker container, maintaining system security while allowing the AI to interact with APIs, files, or development environments. Docker demonstrates workflows such as generating a React component from a UI screenshot, testing it locally, and committing it to a GitHub repository — all through Claude Desktop.

Docker positions the MCP Toolkit as a step toward safer AI automation. By using containers, developers can restrict what the AI can access, ensure reproducibility, and prevent unsafe code execution. This approach allows Claude to move from being a reasoning agent to a trusted actor that operates within well-defined technical boundaries.

The release follows growing interest in connecting large language models to secure runtime environments. Docker’s strategy combines its core strength in container orchestration with AI agent infrastructure, appealing to developers and AI tool builders seeking to bridge reasoning and execution layers.

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