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-code

Installs into .claude/skills of the current project.

Files

Azure AI Services

Services

ServiceUse WhenMCP ToolsCLI
AI SearchFull-text, vector, hybrid searchazure__searchaz search
SpeechSpeech-to-text, text-to-speech, SDK logsazure__speech-
OpenAIGPT models, embeddings, DALL-E-az cognitiveservices
Document IntelligenceForm 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: 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

Repository
github.com/microsoft/github-copilot-for-azure
Categories
Git & Pull Requests, AI & Agent Building, Cloud & Infrastructure, Office & Documents, Generative Media

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