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Model Context Protocol (MCP)

Model Context Protocol (MCP) is an open standard, created by Anthropic in late 2024, that lets AI systems connect to outside tools and data through one common interface. It is a universal plug for AI: instead of a custom integration for every tool, MCP gives any AI one way to reach any connected system.

What it is

Out of the box, an AI assistant only knows its training data. MCP is the standard way to hand it live context: your product catalog, your docs, your CRM, your site. The AI queries the connected source through MCP before it answers, so the response is grounded in your real data instead of a guess.

Why it matters

MCP is the plumbing behind the agentic web. As AI agents start completing tasks for people, the sites and systems that expose their data through MCP become the ones agents can actually use. It is also why MCP keeps showing up in marketing conversations: it is how your data reaches the AI tools your customers already use.

What to do

You do not need to build an MCP server tomorrow. Start by making your core data clean and structured. When you are ready for agents to query or act on your site directly, an MCP endpoint is the standard way to expose it.

Frequently asked questions

Anthropic introduced it in late 2024. It has since been adopted by other major AI providers.
It is a common language that lets an AI system connect to external tools and data sources without a custom integration for each one.
Only when you want AI agents to query or act on your data directly. For most sites, clean structure and schema come first.

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