azure-ai▌
microsoft/azure-skills · updated Apr 8, 2026
Access Azure AI Search, Speech, OpenAI, and Document Intelligence services through unified MCP tools.
- ›AI Search supports full-text, vector, hybrid, and semantic search with built-in AI enrichment for entity extraction and OCR
- ›Speech service handles real-time and batch speech-to-text transcription, text-to-speech synthesis with neural voices, and speaker diarization
- ›MCP tools provide direct access: azure__search for index queries and azure__speech for transcription and synthesis
- ›SD
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__searchwith commandsearch_index_list- List search indexesazure__searchwith commandsearch_index_get- Get index detailsazure__searchwith commandsearch_query- Query search index
Speech
azure__speechwith commandspeech_transcribe- Speech to textazure__speechwith commandspeech_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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★70 reviews- ★★★★★Fatima Ramirez· Dec 28, 2024
We added azure-ai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Fatima White· Dec 20, 2024
I recommend azure-ai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Li Sanchez· Dec 20, 2024
azure-ai is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 16, 2024
azure-ai has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Haddad· Dec 16, 2024
Solid pick for teams standardizing on skills: azure-ai is focused, and the summary matches what you get after install.
- ★★★★★Diya Farah· Dec 16, 2024
azure-ai has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Zaid Torres· Dec 12, 2024
Keeps context tight: azure-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kwame Iyer· Nov 19, 2024
azure-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diego Khan· Nov 11, 2024
Useful defaults in azure-ai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Oshnikdeep· Nov 7, 2024
Keeps context tight: azure-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
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