2025: MCP is quietly becoming the API moment for AI agents

Since OpenAI dropped function calling in 2023, we’ve been watching a clear pattern unfold: more intelligence in models, but more friction in getting agents to actually do anything useful across tools, systems, and APIs.

The problem? There’s no standard execution layer for AI. Developers are stuck wiring agents into every system manually.

But that’s starting to change.

In late 2024, the Model Context Protocol (MCP) entered the chat. Think: an open protocol that lets agents talk to external tools using a common interface. Autonomously. Across apps. With human-in-the-loop control.

It’s like LSP for language tools—but built for agents that act, not just respond.

Today’s traction is strong, especially among devs:

• Cursor turned into a “do-anything” IDE by wiring in MCP servers for Slack, Resend, Replicate, and more.
• Developers use Postgres + Upstash servers to stay in flow while checking DBs, managing cache, or debugging live environments.
• Claude Desktop and Highlight show how this moves beyond code—into business workflows and visual UX.

But we’re still in the early innings.

What MCP needs next:

Multi-tenant hosting, built-in authentication, and permission layers Tool discovery protocols so agents can find what they need Gateway infrastructure to route, manage, and scale tool access Standard UX patterns so every client doesn’t reinvent tool selection If done right, MCP won’t just make agents smarter—it’ll reshape how tools are built, discovered, and monetized.

📌 Imagine a future where:

Your product ships with a tool layer for AI agents by default Tool choice is based on speed, price, and precision—not brand recognition Documentation becomes machine-readable and instantly operational We’re entering the agent-native architecture era. And the new stack is just getting started.

MCP might just be the interface that unifies it all.

Author

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