MCP
Model Context Protocol — an open standard that lets any agent talk to any tool or data source through a single protocol.
MCP solves the M×N integration problem. Before MCP, every agent had to write a custom adapter for every tool it wanted to use. With MCP, a tool exposes itself once as an MCP server; any agent that speaks MCP can use it.
In 2026, MCP is the standard. All major coding agents (Cursor, Claude Code, Cline), most major IDEs, and a growing list of SaaS products ship MCP support out of the box.
The ecosystem effect is what makes MCP load-bearing: when your CRM, your wiki, and your monitoring all speak MCP, agents become composable in a way they weren't before.
Frequently asked
What is the difference between MCP and function calling?+
Function calling is the model-side feature for emitting tool invocations. MCP is the protocol that standardizes how tools advertise themselves. They're complementary: the model calls a function via the LLM API, and the runtime routes that call to an MCP server.
Do I need to learn MCP to use AI agents?+
No, if you're a user. Yes, if you're building. MCP servers are the way you extend agents with custom capabilities in 2026.