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.
Tag: Enterprise AI
Azure AI Agent Service with Model Context Protocol
In the previous posts, we explored the Model Context Protocol fundamentals, examined Azure MCP Server’s capabilities, and built custom MCP servers on Azure. Now we
Understanding Model Context Protocol: The Universal Standard for AI Integration
The artificial intelligence landscape has transformed dramatically over the past year, with large language models becoming increasingly sophisticated in their reasoning capabilities. However, even the
Azure AI Foundry Deep Dive Series Part 2: Building Production AI Applications with Enterprise Architecture
Learn how to build production-ready AI applications using Azure AI Foundry. This comprehensive guide covers architecture patterns, security implementation, cost optimization strategies, and operational best practices for enterprise deployments.
Azure AI Foundry Deep Dive Series: Introduction to Microsoft’s Unified AI Platform
Discover Azure AI Foundry, Microsoft’s unified platform for building, deploying, and managing enterprise AI applications. This comprehensive introduction covers architecture, capabilities, and recent innovations that make it the go-to platform for production AI systems in 2025.
Azure OpenAI Service: Integration Patterns and Best Practices for Enterprise Applications
Learn proven integration patterns and best practices for implementing Azure OpenAI Service in enterprise applications. Covers security, performance optimization, cost management, and common pitfalls to avoid.
