What is MCP and why it matters for AI agent architectures in 2026
The Model Context Protocol (MCP) and the concept of “Skills” are foundational to building robust, scalable, and reliable AI agent architectures in 2026.
Core concepts to cover
- Model Context Protocol (MCP): An open standard that defines a standardized way for AI applications (hosts) to discover and interact with external tools and data sources (servers) at runtime.
- MCP Architecture: Comprises MCP Hosts, MCP Clients, and MCP Servers.
- Agent Skills: Modular, reusable capability packages that extend what an AI agent can do.
Why this topic matters
MCP acts as a standardized communication layer, akin to a “USB-C port for AI applications,” allowing agents to dynamically discover and utilize capabilities without hardcoded integrations.