Building Text Analysis Agents with the Azure Language MCP Server

AI agents need access to specialized tools to perform precise text processing tasks. Connecting large language models to robust cloud services through the Model Context Protocol (MCP) represents the modern standard for building secure, capable AI workflows. In this course, you will learn how to build a fully functional text analysis agent using Azure Language and MCP. You will understand how to orchestrate agentic workflows that automatically detect languages, extract key entities, and redact sensitive personal information with high accuracy. What you'll learn: 1. Understand the fundamentals of the Model Context Protocol (MCP) and how it connects AI models to external tools. 2. Configure the Azure Language MCP server to handle text processing requests. 3. Implement automated language detection and key entity recognition within your agentic workflows. 4. Apply secure PII (Personally Identifiable Information) redaction patterns to protect sensitive data. 5. Design structured output parsers to ensure clean, predictable data flows. The course starts with core concepts of agentic architecture and MCP basics before guiding you through step-by-step configuration, code implementation, and testing your text analysis workflows. This text-only course is designed for software developers and AI enthusiasts who want to build tool-use agents, and no prior experience with Azure or MCP is required. Start reading to build your first tool-enabled text analysis agent today.