AI

Model Context Protocol (MCP)

By Paul Brock·Updated on 22-04-2026
TL;DR

MCP is an open standard from Anthropic (2024) letting AI agents uniformly use external tools, databases and services.

MCP solves the 'N×M' integration problem: without a standard each AI client must integrate separately with each tool. With MCP a tool builds one MCP server and any MCP-compatible system (Claude Desktop, Claude Code, more IDEs and apps) can use it directly. Rapidly adopted since 2024 launch by Anthropic ecosystem and increasingly beyond — key to scalable AI tooling.

Example

A SaaS builds one MCP server exposing their API. Users can log in via Claude Desktop, query data and perform actions — without the SaaS building its own Claude integration.

Frequently asked questions

How do I build an MCP server?

Official SDKs in TypeScript, Python and others. For simple tools: <50 lines of code. Docs on modelcontextprotocol.io.

Related terms

Further reading

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