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Model Context Protocol one year in: what every operator should know

MCP turned tool-use from vendor-specific glue into an open standard. Here is the operator-level explanation of what it changes and what to ask your vendors.

Updated 2 min read

If you have heard “MCP” in a vendor pitch and nodded politely, here is what it actually is, why it matters in 2026, and the three questions to ask any AI vendor about it.

The pre-MCP world#

Every AI agent that talked to your CRM, your inbox, your calendar needed a custom integration written for each model vendor. Switch from GPT to Claude? Rewrite the tool-use layer.

What MCP standardised#

MCP (Model Context Protocol) defines a single way for tools, data sources and models to talk to each other. Anthropic open-sourced it in late 2024 and by mid-2026 every major model vendor (OpenAI, Anthropic, Google, Mistral) supports it natively.

What this changes for you#

You can now build an MCP server for your internal data once (CRM, ticketing, docs) and any AI agent on any platform consumes it without bespoke glue. Vendor lock-in on the integration layer is mostly gone.

Three questions for any AI vendor in 2026#

  1. Do you expose your data sources as MCP servers, or as proprietary endpoints?
  2. Does your agent platform consume third-party MCP servers, or only its own?
  3. If we switch model providers, how much of the tool-use surface has to be rewritten?

We deploy MCP-first architectures by default on every AI integration project from Q1 2026. The migration cost is small; the lock-in avoided is large.

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