Hermes Search
Enables full-text and semantic search over Azure Cognitive Search using type-safe operations.
About
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
- Efficient search operations with customizable parameters
- Type-safe operations with TypeScript
- Document indexing and management in Azure Cognitive Search
- 2 GitHub stars
- Full-text and semantic search over structured/unstructured data
- Compatible with Cline, Cursor, and Claude Desktop
Use Cases
- Searching for documents within Azure Cognitive Search based on keywords or semantic similarity
- Indexing new documents into Azure Cognitive Search
- Deleting the current Azure Cognitive Search index
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