The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services. It allows agents to interact with various Azure services like AI Search, App Configuration, Cosmos DB, and more.
This article details the Model Context Protocol (MCP), an open standard for connecting AI agents to tools and data across enterprise landscapes. It covers MCP implementations by AWS, Azure, and Google Cloud, security considerations, and the growing ecosystem surrounding the protocol.
This article details the Model Context Protocol (MCP), a new approach to integrating Large Language Models (LLMs) like Azure OpenAI with tools. MCP focuses on structured data exchange to improve reliability, observability, and functionality, moving beyond simple text-in, text-out interactions. It aims to standardize how LLMs interact with tools, enhancing their ability to utilize those tools effectively.
