Protocol concept and purpose
The Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how AI models connect to external tools, data sources, and services. Think of it as a universal adapter — instead of building a custom integration for every tool an AI might need, MCP provides a standard interface that any tool can implement.
Before MCP, integrating an AI assistant with external tools required custom code for every combination: Claude + GitHub needed one integration, Claude + Postgres needed another, Claude + Slack needed a third. Each integration was a one-off, hard to share, and hard to maintain. Multiply this across dozens of tools and hundreds of AI products and you have a combinatorial explosion of integration work.
MCP introduces a standard client-server protocol. Once a tool implements an MCP server, any MCP-compatible AI host can use it immediately. And once an AI host implements MCP client support, it can connect to any existing MCP server.
MCP servers expose three types of capabilities:
MCP is already supported by Claude Desktop, Claude Code, and a growing number of third-party AI applications. The ecosystem of MCP servers is expanding rapidly — for developers building AI-powered applications, MCP is increasingly the standard way to extend AI capabilities.
