suhail-ak-s_mcp-typesense-server
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A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities.
The Typesense MCP Server is a robust implementation of the Model Context Protocol, designed to integrate AI models with Typesense's powerful search capabilities. This server allows Language Learning Models (LLMs) to efficiently discover, search, and analyze data stored within Typesense collections. By leveraging the MCP framework, the server facilitates seamless interaction between AI models and Typesense, enabling advanced data retrieval and analysis. The server supports various functionalities such as querying documents, retrieving specific documents by ID, and obtaining collection statistics. It also provides tools for analyzing collection structures and generating search suggestions, making it a versatile tool for developers working with AI and search technologies.
Features
- List and access collections via `typesense: //` URIs
- Search for documents with powerful filtering options
- Retrieve specific documents by ID
- Get statistics about a Typesense collection
- Analyze collection structure and contents
Tools
typesense_query
Search for documents in collections, support multiple search parameters
typesense_get_document
Press ID to get a specific document
typesense_collection_stats
Get collection metadata and statistics
