Anthropic's MCP Explained: The Open Standard Connecting AI Agents to External Systems

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Anthropic introduced the Model Context Protocol (MCP) in late 2024 as an open JSON-RPC 2.0 specification designed to let AI agents communicate with external systems — such as databases, file systems, and APIs — through a single standardized interface. Before MCP, every agent framework used its own tool format, forcing developers to rebuild integrations separately for each platform like LangChain, Claude Desktop, or Cursor. MCP solves this fragmentation by allowing a server to declare its tools, resources, and prompts once, making them accessible to any compatible client regardless of the underlying language model. The protocol supports two transport methods: stdio for local subprocess communication and HTTP with Server-Sent Events for network-accessible servers. By standardizing how AI clients discover and invoke external capabilities, MCP aims to do for AI tooling what the Language Server Protocol did for code editors.

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