Ai-Tools

Before MCP existed, adding tools to an AI application meant writing the same glue code over and over. You had OpenAI’s function calling syntax. Anthropic had tool use with a slightly different schema. LangChain abstracted over both, but now you depended on LangChain’s versioning decisions. Every new model provider meant rewriting your tool definitions. Every new tool meant re-registering it across every AI integration you maintained.

Docker has introduced comprehensive MCP (Model Context Protocol) tooling that enables organizations to build custom catalogs with complete control over AI tool access. With over 220+ containerized MCP servers available and the ability to create private catalogs, enterprises can now deploy AI tooling with appropriate security guardrails.