Azure AI Search

Integrates with Azure AI Search to enable keyword, vector, and hybrid search capabilities for retrieving information from search indexes in readable markdown format.

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.