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Azure AI

Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.

About

The Azure AI tool serves as a robust Model Context Protocol (MCP) server designed to seamlessly integrate a wide array of Azure AI services, including Azure OpenAI, Cognitive Services, Computer Vision, and Azure Storage. It is engineered for mission-critical applications, emphasizing high availability, comprehensive observability, and stringent security measures like Azure AD integration and encryption. Furthermore, it incorporates advanced capabilities such as intelligent rate limiting, resilient retry logic, and built-in chaos engineering with Azure Chaos Studio, ensuring the development and deployment of highly reliable and performant AI solutions.

Key Features

  • Enterprise-grade reliability with high availability, rate limiting, and retry logic
  • Robust security features including Azure AD integration and API key management
  • Full observability through logging, metrics, and distributed tracing via Azure Monitor
  • Comprehensive Azure AI Services integration (OpenAI, Cognitive Services, Computer Vision)
  • 0 GitHub stars
  • Built-in chaos engineering with Azure Chaos Studio for resilience testing

Use Cases

  • Building resilient and scalable AI solutions with integrated observability
  • Deploying mission-critical AI applications on Azure
  • Implementing secure and high-performance access to Azure AI services
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