Discover 44 MCPs built for Azure.
Fetches logs from Azure Log Analytics Workspace using order numbers and exposes them via MCP tools.
Implement an eCommerce site with features like semantic search, MCP integration, and reasoning models.
Provides a RESTful API for monitoring Azure Virtual Machines and Virtual Machine Scale Sets.
Provides sample code and instructions for building various Azure AI Foundry Agents.
Generates AI-powered images leveraging Azure DALL-E 3 and FLUX models within LibreChat environments.
Provides intelligent assistance for Azure Terraform operations, enhancing infrastructure as code development.
Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.
Explore Azure environments by generating and executing KQL queries against Azure Resource Graph for comprehensive insights.
Provides persistent knowledge graph storage for AI assistants in VS Code, leveraging Azure Functions and Table storage.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Implements an example remote MCP server leveraging Server-Sent Events (SSE) and API key authentication, deployable on Azure Container Apps.
Streamlines interaction with Azure Log Analytics workspaces for querying and data management.
Generates random song information via a RESTful API with Model Context Protocol (MCP) integration.
Connects Claude Desktop to Azure AI Agent Service for AI-enhanced document and web search, or directly integrates with Azure AI Search for keyword, vector, and hybrid search capabilities.
Exposes compliance analysis and Azure operations tools as an MCP-compatible server via stdio for seamless client integration.
Provides multi-feature access to weather data, system utilities, Azure resources, and AI image generation/editing through the Model Context Protocol.
Builds interactive topology maps of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher.
Facilitates building and deploying custom remote servers to the cloud using Azure Functions with Python.
Queries Kubernetes to retrieve GPU node information and cluster topologies for Azure HPC/AI clusters.
Streams asynchronous responses per client session via Server-Sent Events from a lightweight FastAPI-based server.
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