Member-only story
MCP in Docker: 100+ Images for Tools, Databases, and APIs
AI agents are evolving fast — jumping from lab experiments to real-world tools that take real-world action. But the ecosystem is fragmented. Discovery is messy. Security feels like a patchwork. And let’s be honest — cloning random GitHub repos just to test a tool?
That’s friction no one needs.
❤️ Not a member? Click here to read this article for free.
Enter Docker MCP.
What’s MCP?
The Model Context Protocol (MCP) is becoming the standard way to connect AI agents with tools. Think of it like HTTP for AI agents — clean, web-native, and simple. But right now, it’s raw. It lacks the structure, trust, and discoverability we expect in production-ready ecosystems.
Docker’s Vision
Just like Docker brought clarity to the chaos of app deployment, they’re now bringing order to the world of MCP tools. And they’re doing it with:
- Docker MCP Catalog — a trusted, verified hub (inside Docker Hub) to discover…
