Discover 52 MCPs built for Azure.
Enables large language models to report Azure resource impacts by parsing natural language requests and submitting reports to Azure.
Enables AI systems to interact with data sources by integrating Azure Form Recognizer/Document Intelligence for document analysis and form data extraction.
Provides a TypeScript-based server that integrates with Cursor IDE for code review and analysis.
Provides a RESTful API for monitoring Azure Virtual Machines and Virtual Machine Scale Sets.
Deploys a sample Model Context Protocol (MCP) server blueprint within Azure, offering various deployment strategies for AI agent interactions.
Facilitates intelligent interaction with Azure services and CLI commands, acting as a Model Context Protocol server to translate natural language requests into executable actions.
Integrates AI assistants with Azure Updates, enabling natural language queries to search and filter service announcements, feature releases, and retirement notices.
Provides persistent knowledge graph storage for AI assistants in VS Code, leveraging Azure Functions and Table storage.
Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.
Provides a Python starter project for building a Model Context Protocol (MCP) server.
Explore Azure environments by generating and executing KQL queries against Azure Resource Graph for comprehensive insights.
Provides intelligent assistance for Azure Terraform operations, enhancing infrastructure as code development.
Implement an eCommerce site with features like semantic search, MCP integration, and reasoning models.
Continuously monitors financial contracts for FX and interest rate risk using event-driven AI agents orchestrated on Azure.
Fetches logs from Azure Log Analytics Workspace using order numbers and exposes them via MCP tools.
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.
Enables AI assistants to query and retrieve information about Azure resources across subscriptions using Azure Resource Graph.
Exposes an MCP-compatible server for robust compliance analysis and essential Azure operations, enabling programmatic interaction with blob storage, log analytics, and resource management.
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.
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