The Model Context Protocol (MCP) is an open standard introduced by Anthropic for connecting AI assistants and language models to external data systems, tools, and services through a unified, standardized interface. It solves the M-times-N integration problem where every AI application needed custom connectors for every tool by establishing a universal protocol that any AI client can use to communicate with any MCP-compatible server. Since its launch in November 2024, MCP has achieved remarkable adoption with over 97 million monthly SDK downloads across Python and TypeScript, becoming the de facto standard for AI tool integration.
The MCP specification provides a client-server architecture where AI applications (clients) connect to tool providers (servers) through standardized primitives including tools, resources, and prompts. The November 2025 specification release introduced major features including asynchronous operations, statelessness for serverless deployment, server identity verification, official extensions, external OAuth flows for third-party authorization, and PCI-compliant financial transaction support. Official SDKs are available in all major programming languages, with streaming HTTP transport replacing the earlier SSE approach for better reliability and compatibility across deployment environments.
MCP targets AI developers, platform teams, and tool providers who want to build interoperable integrations that work across any AI client or agent framework. In December 2025, Anthropic donated MCP to the Agentic AI Foundation (AAIF) under the Linux Foundation, co-founded with Block and OpenAI, establishing neutral governance for the protocol's future evolution. MCP is now supported by major AI platforms including Claude, ChatGPT, Cursor, Windsurf, and dozens of development tools, with a growing ecosystem of thousands of community-built servers covering everything from database access and file management to API integrations and cloud infrastructure management.