Software containerization company Docker is launching the Docker MCP Catalog and Docker MCP Toolkit, which bring more of the AI workflow into the existing Docker developer experience and simplify AI software delivery. The new offerings are based on the emerging Model Context Protocol standard created by its partner Anthropic PBC. Docker argues that the simplest way to use Anthropic’s MCP to improve LLMs is to containerize it. To do that, it offers tools such as Docker Desktop for building, testing and running MCP servers, as well as Docker Hub to distribute their container images, and Docker Scout to ensure they’re secure. By packaging MCP servers as containers, developers can eliminate the hassles of installing dependencies and configuring their runtime environments. The Docker MCP Catalog, integrated within Docker Hub, is a centralized way for developers to discover, run and manage MCP servers, while the Docker MCP Toolkit offers “enterprise-ready tooling” for putting AI applications to work. At launch, there are more than 100 MCP servers available within Docker MCP Catalog. President and Chief Operating Officer Mark Cavage explained that “The Docker MCP Catalog brings that all together in one place, a trusted, developer-friendly experience within Docker Hub, where tools are verified, secure, and easy to run.”