Descubre 52 MCPs desarrollados para Azure.
Provides a TypeScript-based server that integrates with Cursor IDE for code review and analysis.
Generates AI-powered images leveraging Azure DALL-E 3 and FLUX models within LibreChat environments.
Enables AI systems to interact with data sources by integrating Azure Form Recognizer/Document Intelligence for document analysis and form data extraction.
Fetches logs from Azure Log Analytics Workspace using order numbers and exposes them via MCP tools.
Continuously monitors financial contracts for FX and interest rate risk using event-driven AI agents orchestrated on Azure.
Provides intelligent assistance for Azure Terraform operations, enhancing infrastructure as code development.
Provides persistent knowledge graph storage for AI assistants in VS Code, leveraging Azure Functions and Table storage.
Facilitates intelligent interaction with Azure services and CLI commands, acting as a Model Context Protocol server to translate natural language requests into executable actions.
Provides a Python starter project for building a Model Context Protocol (MCP) server.
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.
Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.
Implement an eCommerce site with features like semantic search, MCP integration, and reasoning models.
Explore Azure environments by generating and executing KQL queries against Azure Resource Graph for comprehensive insights.
Integrates AI assistants with Azure Updates, enabling natural language queries to search and filter service announcements, feature releases, and retirement notices.
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.
Provides multi-feature access to weather data, system utilities, Azure resources, and AI image generation/editing through the Model Context Protocol.
Streamlines interaction with Azure Log Analytics workspaces for querying and data management.
Scaffolds full-stack projects by generating consistent structure, Docker setups, CI/CD pipelines, and database configurations.
Scroll for more results...