If you’re building multi-agent systems and you’re not paying attention to MCP (Model Context Protocol), you’re about to have the same rude awakening that developers had in 2015 when they ignored REST APIs and then had to retrofit everything.
MCP does for AI agents what OpenAPI did for web services: it creates a standard interface for tools, data sources, and capabilities that any agent can discover and use. The difference is that MCP is designed for the specific patterns of AI interaction — context windows, tool calling, streaming responses — rather than being adapted from HTTP request-response.
What I’m seeing in practice: teams that adopt MCP for their internal tool integrations are cutting agent development time by roughly 40%. The reason is simple — you write the integration once as an MCP server, and every agent in your system can use it without custom glue code.
The ecosystem is still early. The tooling is rough. The documentation assumes you already understand the abstractions. But the trajectory is clear: MCP is becoming the integration substrate for agentic systems, the same way SQL became the substrate for data and HTTP became the substrate for web services.
Build your MCP servers now. You’ll thank yourself in six months.