"Large language models, the engines of many of today's cutting edge AI applications, process and return responses to prompts using training data, whether the task at hand is solving a logic-level problem or writing complex lines of code. LLMs cannot 'naturally' access external databases, content repositories, and third-party applications.. Linking LLMs to external data used to be a manually intensive, case-by-case task."
"Anthropic, the American AI developer responsible for Claude, released MCP as an open source standard on November 25, 2024. The firm published the documentation and announced MCP in a , drawing an analogy between the MCP protocol and , which helps any device connect to a computer. Fintech company Block and app development platform Apollo GraphQL were listed as early adopters of MCP. Anthropic has since partnered with developer tool companies like Zed, Replit, Sourcegraph, and Codeium"
Model Context Protocol (MCP) is an open-source AI standard that provides a secure environment for large language models to connect with external databases, tools, software, and services in real-time. Anthropic released MCP as an open source standard on November 25, 2024. Fintech company Block and app development platform Apollo GraphQL were early adopters, and Anthropic partnered with developer tool companies Zed, Replit, Sourcegraph, and Codeium to incorporate MCP into development products. Core AI enterprises including Google DeepMind adopted MCP within six months, and Microsoft integrated MCP through Copilot Plus PC and Windows AI. MCP uses a client-server architecture with communication at the transport layer via standard input/output (STDIO), security mechanisms, and server-sent events (SSE). The MCP host is an AI application or IDE containing an LLM, while the MCP client embedded in the host converts user requests into a standardized format.
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