Azure AI Agent Skills

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Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.

Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms.

Build real-time chat applications with Azure Communication Services Chat Java SDK. Use when implementing chat threads, messaging, participants, read receipts, typing notifications, or real-time chat features.

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Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.

Multi-cloud pricing comparison MCP server for AWS, Azure, GCP, and OCI. Compare compute, storage, egress, and Kubernetes costs across all major cloud providers with a single query. - Comprehensive Coverage: 2,700+ instance types across all providers - AWS: 1,147 EC2 instances + 353 RDS database types + Lightsail - Azure: 1,199 VM types - GCP: 287 instance types across 40+ regions - OCI: 600+ produ

A Model Context Protocol (MCP) server that provides Oracle Cloud Infrastructure pricing data to AI assistants like Claude. AWS, Azure, and GCP all have pricing MCP servers. OCI did not - until now. You ask Claude: Claude responds (using this MCP): You ask Claude: Claude responds (using this MCP): Available presets: - small-web-app - 1 OCPU, 8GB, 100GB storage, LB - medium-api-server - 4 OCPU, 32GB

Skills, custom agents, AGENTS.md templates, and MCP configurations for AI coding agents working with Azure SDKs and Microsoft AI Foundry. Select the skills you need from the wizard. Skills are installed to your chosen agent's directory (e.g., .github/skills/ for GitHub Copilot) and symlinked if you use multiple agents. Alternative installation methods Manual installation (git clone) Coding agents

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- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP

This is a Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions using Resource Graph queries. - Query Azure resources using Resource Graph queries - Default query returns resource ID, name, type, and location - Supports custom Resource Graph queries - Uses Azure DefaultAzureCre

A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™. - Seamless access to multiple storage services including S3, Azure Blob Storage, Google Cloud Storage, and more - List files and directories from storage services - Read file contents with automatic text/binary detection - Environment variable based configuration Add the follo

Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.

This is a MCP plugin acting as an interface for AI agent to do stuff on a remote storage you have configured in Filestash, be it a FTP server, SFTP, S3, WebDAV, SMB, GIT, NFS, .... - demo server: https://demo.filestash.app/sse - release note: https://www.filestash.app/2025/04/01/mcp-feature/

This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context:

Model Context Protocol (MCP) compliant memory & knowledge graph server implemented in .NET 10 (Azure Functions isolated worker). Provides durable project memory (entities, relations, observations) for AI assistants with workspace isolation and simple HTTP tool endpoints. Current function set (alpha stage): - readgraph - returns all entities for a workspace (relations currently queried separately a

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Azure Communication Services CallingServer (legacy) Java SDK. Note - This SDK is deprecated. Use azure-communication-callautomation instead for new projects. Only use this skill when maintaining legacy code.