Frameworks

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

Open standard for connecting AI assistants to external systems (files, databases, APIs, tools)
Replaces custom integrations with a single protocol - like USB-C for AI connections
Works through MCP servers that expose your data and MCP clients (AI apps) that connect to them
Created by Anthropic, open-sourced November 2024, free to use
Pre-built servers available for GitHub, Slack, Google Drive, Postgres, Puppeteer, and more

How Vibe Coders Use Model Context Protocol (MCP)

1
Connecting Claude Desktop to your local filesystem so it can read and edit project files
2
Building an AI agent that pulls data from your Postgres database and Slack workspace through MCP servers
3
Creating a custom MCP server so AI assistants can access your company's internal APIs and documentation
4
Using pre-built MCP servers to give your AI app instant access to GitHub repos, Google Drive, or business tools

Frequently Asked Questions

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