The era of AI agents has arrived, and with it, a new standard for
how they connect to tools:the Model Context Protocol (MCP).MCP
unlocks powerful, flexible workflows by letting agents tap into
external tools and systems.But with thousands of MCP servers (including remote ones) now
available, it’s easy to ask:Where do I even start? I’m
Oleg Šelajev, and I lead Developer Relations for AI products at
Docker.I’ve been hands-on with MCP servers since the very
beginning.In this post, we’ll
The era of AI agents has arrived, and with it, a new standard for
how they connect to tools:the Model Context Protocol (MCP).MCP
unlocks powerful, flexible workflows by letting agents tap into
external tools and systems.But with thousands of MCP servers (including remote ones) now
available, it’s easy to ask:Where do I even start? I’m
Oleg Šelajev, and I lead Developer Relations for AI products at
Docker.I’ve been hands-on with MCP servers since the very
beginning.In this post, we’ll