Discover 39 MCPs built for Azure.
Provides sample code and instructions for building various Azure AI Foundry Agents.
Explore Azure environments by generating and executing KQL queries against Azure Resource Graph for comprehensive insights.
Queries Kubernetes to retrieve GPU node information and cluster topologies for Azure HPC/AI clusters.
Integrates Microsoft Azure cloud services with the Model Context Protocol to automate processes and enhance AI agents.
Builds interactive topology maps of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher.
Exposes compliance analysis and Azure operations tools as an MCP-compatible server via stdio for seamless client integration.
Enables AI assistants to query and retrieve information about Azure resources across subscriptions using Azure Resource Graph.
Generates AI-powered images leveraging Azure DALL-E 3 and FLUX models within LibreChat environments.
Provides practical code snippets and examples for integrating various artificial intelligence features and models.
Fetches logs from Azure Log Analytics Workspace using order numbers and exposes them via MCP tools.
Provides multi-feature access to weather data, system utilities, Azure resources, and AI image generation/editing through the Model Context Protocol.
Streams asynchronous responses per client session via Server-Sent Events from a lightweight FastAPI-based server.
Enables AI assistants to securely execute Azure CLI commands for managing cloud resources.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Facilitates building and deploying custom remote servers to the cloud using Azure Functions with Python.
Generates random song information via a RESTful API with Model Context Protocol (MCP) integration.
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.
Implement an eCommerce site with features like semantic search, MCP integration, and reasoning models.
End of results