The Model Context Protocol (MCP) is an open standard created by Anthropic that provides a universal way for AI models to connect with external data sources, tools, and services. MCP follows a client-server architecture where AI applications (clients) connect to MCP servers that expose capabilities like database access, API calls, file system operations, and web browsing. The protocol standardizes how AI agents discover available tools, understand their parameters, and invoke them safely. MCP is analogous to USB for AI: a single standard that replaces custom integrations. Major adopters include development tools, IDEs, and enterprise platforms.
Frequently Asked Questions
What is MCP in AI?
MCP (Model Context Protocol) is an open standard by Anthropic that lets AI models connect to external tools, databases, and services through a universal protocol, similar to how USB standardized device connections.
Why does MCP matter?
MCP eliminates the need for custom integrations between AI models and tools. One MCP server works with any MCP-compatible AI client, creating an interoperable ecosystem.