
Azure Ai
Azure AI provides developers and cloud architects with tools to integrate Azure's AI services—including AI Search, Speech, OpenAI, and Document Intelligence—into their applications through MCP tools and CLI commands. The skill solves the problem of implementing complex AI capabilities like vector search, speech-to-text conversion, OCR, and semantic search by offering simplified access to these services. It serves users building AI-enhanced applications who need quick reference guides, SDK documentation, and command-line access to Azure's cognitive services.
- skills.sh installs
- 103.7K
- GitHub stars
- 217
- last updated
- Jun 11, 2026
Install
$ npx -y skills add microsoft/github-copilot-for-azure --skill azure-ai --agent claude-codeInstalls 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__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: 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.
AI Search Capabilities
Sponsors
Details
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