Azure를 위해 구축된 44개의 MCP를 찾아보세요.
Provides a RESTful API for monitoring Azure Virtual Machines and Virtual Machine Scale Sets.
Provides intelligent assistance for Azure Terraform operations, enhancing infrastructure as code development.
Generates AI-powered images leveraging Azure DALL-E 3 and FLUX models within LibreChat environments.
Provides sample code and instructions for building various Azure AI Foundry Agents.
Fetches logs from Azure Log Analytics Workspace using order numbers and exposes them via MCP tools.
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.
Implement an eCommerce site with features like semantic search, MCP integration, and reasoning models.
Provides persistent knowledge graph storage for AI assistants in VS Code, leveraging Azure Functions and Table storage.
Enables AI assistants to securely execute Azure CLI commands for managing cloud resources.
Enables AI assistants to query and retrieve information about Azure resources across subscriptions using Azure Resource Graph.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
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.
Streams asynchronous responses per client session via Server-Sent Events from a lightweight FastAPI-based server.
Facilitates building and deploying custom remote servers to the cloud using Azure Functions with Python.
Streamlines interaction with Azure Log Analytics workspaces for querying and data management.
Exposes compliance analysis and Azure operations tools as an MCP-compatible server via stdio for seamless client integration.
Builds interactive topology maps of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher.
Generates random song information via a RESTful API with Model Context Protocol (MCP) integration.
Queries Kubernetes to retrieve GPU node information and cluster topologies for Azure HPC/AI clusters.
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