Loading video player...
Unlock the full power of your agents! In this video, we explore how to connect Azure AI Agents to a remote MCP (Model Context Protocol) server. MCP allows your agents to securely access external data sources, tools, and local contexts that were previously out of reach. We will walk through the configuration using the Azure AI Foundry SDK and show you how to bridge the gap between your cloud agents and remote resources. Key Topics Covered: What is MCP? Understanding the Model Context Protocol in the Azure ecosystem. Remote Server Setup: Configuring your MCP server for secure external access. Agent Integration: Using the Python SDK to register and call MCP tools from Azure AI. Authentication & Security: Managing API keys and secure tunneling for remote connections. Live Demo: Watching the Azure AI Agent fetch real-time data via a remote MCP host. Stay ahead of the curve with the latest in agentic orchestration! T #MCP #ModelContextProtocol #AzureAIFoundry #AIAgents #PythonSDK #AzureAI #RemoteTools #AgenticAI" Model Context Protocol Azure, Connect AI Agent to MCP Server, Azure AI Foundry MCP Tutorial, Remote MCP Server Configuration, Azure AI Agent SDK Python, MCP Tool Call Azure, Extend LLM Capabilities, Agentic Workflows MCP, Azure OpenAI Remote Tools, Claude MCP Azure Integration.