Model Context Protocol

What is it?

The Model Context Protocol (MCP) is an open standard designed to solve the “m-to-n” connection problem between AI assistants and data sources.

Ideally, every AI model (Claude, GPT, local Llama) needs to connect to every data source (Google Drive, Slack, Postgres). Without a standard, you build a custom integration for every pair. MCP provides a universal “USB-C port” for AI: you build the connector once, and any MCP-compliant AI client can use it.

Why is it Important?

• Interoperability: It decouples the AI model from the tools. You can swap models without rewriting your database integrations.
• Ecosystem Growth: Developers can focus on building good tools (MCP Servers) without worrying about which specific AI interface will use them.
• Context Portability: It allows users to bring their own context (documents, database schemas) into any AI environment they choose.

Technical View

MCP follows a Client-Host-Server architecture.