Access Azure AI Search, Speech, OpenAI, and Document Intelligence services through unified MCP tools.
Works with
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 commands for listing search indexes, querying indexes, transcribing audio, and synthesizing spe
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-aiExecute the skills CLI command in your project's root directory to begin installation:
Fetches azure-ai from microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate azure-ai. Access via /azure-ai in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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| 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 | - | - |
When Azure MCP is enabled:
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 indexazure__speech with command speech_transcribe - Speech to textazure__speech with command speech_synthesize - Text to speechIf Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
| 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 |
| 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 |
For programmatic access to these services, see the condensed SDK guides:
For deep documentation on specific services:
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
microsoft/GitHub-Copilot-for-Azure
microsoft/GitHub-Copilot-for-Azure
microsoft/azure-skills
membranedev/application-skills
microsoft/azure-skills
davila7/claude-code-templates
Keeps context tight: azure-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend azure-ai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for azure-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in azure-ai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend azure-ai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: azure-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend azure-ai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: azure-ai is focused, and the summary matches what you get after install.
Useful defaults in azure-ai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for azure-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
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