cloud▌

Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. \n \n Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure \n Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication \n Includes complete templates with Express/TypeScript API, React/Vi

Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies. \n \n Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends \n Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing \n Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token

Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services. \n \n Supports migration from AWS Lambda to Azure Functions with scenario-specific conversion rules and best practices \n Generates assessment reports mapping source services to Azure equivalents before any code conversion \n Converts source code to target Azure runtime models using documented migration patterns and MCP tools for best practices \n Outputs all artifacts to a separate <source-folder>-azur

Azure compliance scanning, Key Vault expiration auditing, and resource configuration validation. \n \n Runs azqr (Azure Quick Review) for comprehensive compliance assessment against best practices across subscriptions and resource groups \n Monitors Key Vault keys, secrets, and certificates for expiration dates and identifies items without expiration policies \n Detects orphaned, misconfigured, and non-compliant resources using Resource Graph queries \n Classifies findings by priority (Critical,

Assess and automate upgrades of Azure workloads across plans, tiers, and SKUs. \n \n Handles plan migrations (Consumption to Flex Consumption), tier upgrades, and cross-service moves (App Service to Container Apps) with sequential assessment before any changes \n Generates pre-upgrade readiness reports, collects existing app settings and configurations, then executes automated upgrade steps with idempotent scripts \n Requires explicit user confirmation for destructive actions and target plan/SKU

Unified access to Azure blob storage, file shares, queues, tables, and data lake services. \n \n Supports five storage service types: Blob Storage for objects and backups, File Shares for SMB access, Queue Storage for async messaging, Table Storage for NoSQL key-value data, and Data Lake for big data analytics \n MCP server tools enable listing storage accounts, containers, and blobs, plus downloading and uploading blob content directly \n Configurable access tiers (hot, cool, cold, archive) and

Category: test

Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights. \n \n Execute KQL queries against massive datasets with sub-second performance, including filtering, aggregation, time series analysis, and cross-table joins \n Discover and explore cluster resources, databases, and table schemas to understand your data model before querying \n Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, join-bas

Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. \n \n Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure \n Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication \n Template includes Express/TypeScript API, React/Vite frontend, Bi

Access Azure AI Search, Speech, OpenAI, and Document Intelligence services through unified MCP tools. \n \n AI Search supports full-text, vector, hybrid, and semantic search with built-in AI enrichment for entity extraction and OCR \n Speech service handles real-time and batch speech-to-text transcription, text-to-speech synthesis with neural voices, and speaker diarization \n MCP tools provide direct access: azure__search for index queries and azure__speech for transcription and synthesis \n SD