Integrates Azure cloud services with GenAI applications via the Model Context Protocol, enabling comprehensive Azure API coverage with enterprise-ready features.
Provides AI agents with real-time access to live Azure infrastructure, including AKS cluster health, resource management, policy validation, and Terraform analysis through a Model Context Protocol interface.
A Python backend implementing the Model Context Protocol with Azure OpenAI integration, enabling applications to interact with LLMs through a standardized interface with streaming capabilities.
Enables AI assistants to interact with Azure DevOps, providing tools for managing work items, repositories, pipelines, and more through the Model Context Protocol.
Enables interaction with Azure Data Lake Storage Gen2 through the Model Context Protocol, supporting file and directory operations such as upload, download, rename, and metadata management.