Enables full-text and semantic search over Azure Cognitive Search using type-safe operations.
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Hermes Search provides full-text and semantic search capabilities on data stored in Azure Cognitive Search, all accessible through the Model Context Protocol (MCP). It simplifies interaction with Azure Cognitive Search, providing document indexing, management, and efficient search operations with customizable parameters, designed to integrate seamlessly with tools like Cline, Cursor, and Claude Desktop. This allows AI systems to securely and efficiently access and utilize data stored within Azure Cognitive Search, using type-safe operations.
Key Features
01Efficient search operations with customizable parameters
02Type-safe operations with TypeScript
03Document indexing and management in Azure Cognitive Search
042 GitHub stars
05Full-text and semantic search over structured/unstructured data
06Compatible with Cline, Cursor, and Claude Desktop
Use Cases
01Searching for documents within Azure Cognitive Search based on keywords or semantic similarity
02Indexing new documents into Azure Cognitive Search
03Deleting the current Azure Cognitive Search index
