The Model Context Protocol (MCP) is quickly becoming the standard for connecting AI agents to external tools. By eliminating the need for custom integrations, it streamlines development, reduces overhead, and gives teams the flexibility to mix and match tools.
But while MCP adoption is growing, many developers still face challenges when it comes to running MCP servers securely and scaling beyond experimentation.
In this webinar, we’ll show you how Docker’s tooling makes it easy to discover, run, and secure MCP servers for your agentic applications. Plus, you’ll also learn best practices for building, testing, and packaging MCP servers and how to feature yours on the Docker MCP Catalog.
