Azure Ai

Provides MCP tools for Azure's core AI services: search queries across indexes, speech-to-text transcription, text-to-speech synthesis, and document OCR. The azure__search tool handles full-text, vector, and hybrid searches, while azure__speech manages audio transcription and voice synthesis. Use this when you're building search experiences, processing audio content, or extracting text from documents through Azure's AI stack. The MCP integration is cleaner than CLI commands for programmatic access, though you'll still need the Azure CLI for service provisioning and management tasks.

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skills.sh installs: 660.5K
GitHub stars: 1.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add microsoft/azure-skills --skill azure-ai --agent claude-code

Installs into .claude/skills of the current project.

Files

Azure AI Services

Services

Service	Use When	MCP Tools	CLI
AI Search	Full-text, vector, hybrid search	`azure__search`	`az search`
Speech	Speech-to-text, text-to-speech, SDK logs	`azure__speech`	-
OpenAI	GPT models, embeddings, DALL-E	-	`az cognitiveservices`
Document Intelligence	Form extraction, OCR	-	-

MCP Server (Preferred)

When Azure MCP is enabled:

AI Search

azure__search with command search_index_list - List search indexes
azure__search with command search_index_get - Get index details
azure__search with command search_query - Query search index

Speech

azure__speech with command speech_transcribe - Speech to text
azure__speech with command speech_synthesize - Text to speech

If Azure MCP is not enabled: In Copilot CLI or Claude Code, ask the user to run /mcp and enable Azure MCP; in other hosts, ask the user to enable Azure MCP through the host's MCP configuration.