Discover 44 MCPs built for Azure.
Provides a catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Provides a comprehensive collection of client and management libraries for interacting with Azure services from JavaScript and TypeScript applications.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Provides practical samples and workflows for integrating artificial intelligence capabilities with Azure SQL Database.
Provides .NET sample code for creating and using Model Context Protocol (MCP) servers and clients.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).
Turns natural-language prompts into Microsoft Azure architecture diagrams (PNG) using Python Diagrams and Graphviz.
Enables Claude to interact with and manage Azure services through natural language.
Provides a standardized interface for interacting with Azure FHIR servers using the Model Context Protocol (MCP).
Queries Azure resource pricing programmatically using the Azure Retail Prices API.
Automates the generation and validation of Azure architecture designs and diagrams using AI agents and the Model Context Protocol.
Enables testing of Azure Function Apps locally through Cline.
Deploys a TypeScript Model Context Protocol (MCP) server to Azure Container Apps using SSE transport.
Enables querying and listing Azure resources and costs directly from an MCP client.
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.
Enables large language models to report Azure resource impacts by parsing natural language requests and submitting reports to Azure.
Orchestrates enterprise-grade AI agents to streamline developer and DevOps workflows across various toolchains.
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