In depth
The Model Context Protocol (MCP) is an open protocol specification that standardizes how AI applications (clients) connect to external capabilities (servers). Instead of every AI tool implementing a custom integration for every service, MCP defines one protocol that any LLM client and any service can speak.
MCP separates three concepts: tools (functions the AI can call), resources (data the AI can read), and prompts (reusable templates). Communication happens over JSON-RPC 2.0, transported via stdio (local), Server-Sent Events, or streamable HTTP.
The protocol was designed by Anthropic and released as open source in November 2024. It is now adopted by Claude Desktop, Claude Code, Cursor, Windsurf, VS Code Copilot, and hundreds of third-party clients. MCP is often described as 'USB-C for AI' because it turns bespoke integrations into plug-and-play components.
MCP is language-agnostic — SDKs exist for TypeScript, Python, Rust, Kotlin, C#, and more. You can build an MCP server in any language that can speak JSON-RPC.