Develop a text analysis agent with the Azure Language MCP server

  • Module
  • 6 Units
Intermediate
AI Engineer
Developer
Azure AI Language
Microsoft Foundry
Foundry Agent Service

Learn how to build an AI agent that uses the Azure Language MCP server to perform text analysis tasks like entity recognition, sentiment analysis, and summarization.

Learning objectives

After completing this module, you'll be able to:

  • Describe the Azure Language MCP server and the text analysis capabilities it exposes.
  • Explain how MCP enables dynamic tool discovery and selection by AI agents.
  • Connect the Azure Language MCP server to an agent in Microsoft Foundry.
  • Build a Python client application that invokes an agent to perform text analysis.

Prerequisites

Before starting this module, you should:

  • Be familiar with Azure services and the Microsoft Foundry portal.
  • Have experience deploying generative AI models in Microsoft Foundry.
  • Have some familiarity with Python programming.
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