The Model Context Protocol (MCP) makes building intelligent integrations between large language models (LLMs) and cloud services easier. By combining MCP with Azure Functions, developers can expose serverless tools that LLMs can securely call in real time. This article describes how to set up Azure Functions as a custom MCP server, extend it with custom tools, and connect it to clients such as VS Code in Agent Mode.

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Microsoft Azure MCP Server allows AI agents like VS Code GitHub Copilot in Agent Mode to communicate with your Azure resources through natural language prompts. Azure MCP Server supports services such as Storage, Cosmos DB, Key Vault, and Logs.

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