| name | azure-ai |
| description | Use for Azure AI in Python: Search, Speech, OpenAI, and Document Intelligence. Helps with search, vector or hybrid search, speech-to-text, text-to-speech, transcription, and OCR using Python-first guidance. |
| license | MIT |
| metadata | {"author":"Microsoft","version":"1.0.1"} |
Azure AI Services
This skill is Python-only.
- Use this skill for Python implementations and Python SDK usage.
- Do not use this skill as a source of non-Python guidance.
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 indexesazure__search with command search_index_get - Get index detailsazure__search with command search_query - Query search index
Speech
azure__speech with command speech_transcribe - Speech to textazure__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:
Service Details
For deep documentation on specific services:
