Connect MCP servers to Azure AI Foundry and Claude with practical integration examples. Learn configuration, authentication, and cross-platform orchestration patterns for enterprise AI deployments.
Category: AI
Model Context Protocol Part 4: Enterprise Integration Patterns – Security, Scaling, and Production Deployment
Master enterprise MCP integration with OAuth 2.1 authentication, role-based access control, monitoring, scaling, and security best practices. Production-ready patterns for deploying MCP servers at scale.
Advanced Prompt Engineering Patterns for Claude in Azure AI Foundry
Prompt engineering has evolved from simple question-and-answer interactions to sophisticated patterns that unlock Claude’s full potential in Azure AI Foundry. As enterprises deploy Claude at
Model Context Protocol Part 3: Building MCP Servers in Node.js and C# – Cross-Platform Implementation Guide
Master MCP server development across platforms. Comprehensive guide comparing Node.js TypeScript and C# .NET implementations with production-ready code examples, deployment strategies, and platform selection guidance.
Model Context Protocol Part 2: Building Your First MCP Server with Python and FastMCP
Learn to build production-ready MCP servers with Python and FastMCP. Step-by-step guide covering tools, resources, database integration, error handling, testing, and Claude Desktop integration with complete working examples.
Model Context Protocol Part 1: Understanding the New Standard for AI-Data Integration
Explore the Model Context Protocol (MCP), the emerging standard for AI-data integration. Learn MCP’s client-host-server architecture, JSON-RPC messaging, capability negotiation, and how it solves the enterprise AI integration challenge.
TTS Forge: Build Your Custom Voice Cloning Pipeline with XTTS v2
Build a complete voice cloning pipeline that trains custom TTS models on consumer hardware. TTS Forge demonstrates end-to-end voice synthesis from recording through inference using XTTS v2 and VITS models.
Quantum Machine Learning and Variational Quantum Eigensolver Implementation in Azure Quantum
Explore comprehensive implementation of Variational Quantum Eigensolver (VQE) in Azure Quantum. Learn how to build production-ready quantum machine learning workflows with Python, Node.js, and C# code examples, optimization strategies, and enterprise integration patterns for solving complex problems in chemistry and materials science.
Azure AI Foundry Deep Dive Series Part 6: Security and Governance Implementation
Master security and governance for Azure AI Foundry. Learn network isolation patterns, identity management, data encryption, content safety, compliance frameworks, and incident response strategies for production AI systems.
Azure AI Foundry Deep Dive Series Part 5: Cost Optimization Strategies for AI Workloads
Discover proven strategies to reduce Azure AI Foundry costs by 50-70% without sacrificing quality. Learn deployment optimization, prompt caching, batch processing, compute resource management, and automated cost controls for sustainable AI operations.
