Model Context Protocol (MCP)
An open standard that lets AI assistants connect to external data sources, tools, and systems through a single protocol instead of custom integrations.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard that lets AI assistants connect to your data sources, tools, and systems through a single protocol.
Instead of building custom integrations for every data source, you install MCP servers that expose your files, databases, APIs, or business tools to AI apps like Claude or agents you're building.
Think of it like USB-C for AI. One protocol, many connections. You can run MCP servers locally (like connecting Claude Desktop to your filesystem) or build them into your products so AI agents can access your APIs, read your docs, or pull data from your systems.
Created by Anthropic and open-sourced in November 2024. Free to use. Growing ecosystem of pre-built servers for GitHub, Slack, Google Drive, Postgres, and more.
Good to Know
How Vibe Coders Use Model Context Protocol (MCP)
Frequently Asked Questions
Your Idea to AI Business In Days
Join Dan, Zehra and 0 others building AI businesses in days with video tutorials and 1 on 1 support.
Related Terms
Using technology to handle repetitive tasks without human intervention, freeing you up for strategic work.
Reusable instruction packages that teach Claude how to complete specific tasks consistently, loaded dynamically only when needed.
An open-source framework that lets you build AI apps by chaining together LLMs, tools, and data sources into reusable workflows.
A no-code automation platform that connects your apps so they work together automatically through workflows called Zaps.
A set of rules that lets different software programs talk to each other and share data or functionality.
Join 0 others building with AI