The Azure AI Search MCP server connects Claude Desktop to Azure AI Search services, enabling users to query their search indexes using three distinct methods: keyword search for exact lexical matches, vector search for semantic similarity using embeddings, and hybrid search combining both approaches. Built with Python using the FastMCP framework, it handles authentication through Azure credentials, formats search results in readable markdown, and provides detailed error handling. This implementation is particularly valuable for users who need to retrieve information from their Azure AI Search indexes directly within Claude conversations, making it ideal for research, content discovery, and knowledge management workflows.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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