azure-ai

name	azure-ai
description	azure ai workflow.

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	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: Run /azure:setup or enable via /mcp.

AI Search Capabilities

Feature	Description
Full-text search	Linguistic analysis, stemming
Vector search	Semantic similarity with embeddings
Hybrid search	Combined keyword + vector
AI enrichment	Entity extraction, OCR, sentiment

Speech Capabilities

Feature	Description
Speech-to-text	Real-time and batch transcription
Text-to-speech	Neural voices, SSML support
Speaker diarization	Identify who spoke when
Custom models	Domain-specific vocabulary

SDK Quick References

For programmatic access to these services, see the condensed SDK guides:

• AI Search: Python | TypeScript | .NET
• OpenAI: .NET
• Vision: Python | Java
• Transcription: Python
• Translation: Python | TypeScript
• Document Intelligence: .NET | TypeScript
• Content Safety: Python | TypeScript | Java

Service Details

For deep documentation on specific services:

• AI Search indexing and queries -> Azure AI Search documentation
• Speech transcription patterns -> Azure AI Speech documentation