Definition

Model Context Protocol (MCP)

An open protocol that standardizes how AI applications connect to data sources and tools — letting any AI client work with any compatible server.

The Full Definition

Model Context Protocol is an open standard introduced by Anthropic that defines a common interface between AI applications (clients) and the tools, data sources, and services they need to access (servers). Before MCP, every AI integration was bespoke — connecting an AI to a CRM, a database, or a file system meant custom code for each pair. MCP turns that into a standardized protocol: write a server once for your data source, and any MCP-compatible AI can use it.

Why It Matters

MCP is becoming the USB-C of AI integrations. For production AI systems that need to reach into many enterprise tools, MCP dramatically reduces integration cost and ongoing maintenance — and lets you swap AI providers without rebuilding every integration.

How This Shows Up in Practice

A consulting firm builds one MCP server that exposes its document management system, project tracker, and CRM. From day one, that infrastructure works with Claude, with their internal agent platform, and with future AI clients that adopt MCP — no rework needed.

Common Questions

Is MCP only for Claude?

No — MCP is an open protocol. Anthropic introduced it, but the spec is open and multiple AI platforms and applications now implement it.

Do I need to use MCP?

Not strictly — direct API integration still works fine. But for organizations building multiple AI integrations, MCP saves real engineering effort by standardizing the integration layer.

Related Terms

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