Typesense
Connects AI models to Typesense search capabilities, enabling discovery, search, and analysis of data stored within Typesense collections.
About
The Typesense MCP Server empowers AI models with seamless access to Typesense, a fast, open-source search engine. It exposes Typesense collections as resources accessible via URIs, offering tools and prompts for querying, retrieving documents, and analyzing collection statistics. This integration allows Large Language Models (LLMs) to effectively discover, search, and understand data within Typesense, enhancing their ability to provide informed and context-aware responses.
Key Features
- Lists and accesses Typesense collections via typesense:// URIs.
- Offers a typesense_get_document tool for retrieving specific documents by ID.
- Includes a typesense_collection_stats tool for gathering collection metadata and statistics.
- 3 GitHub stars
- Provides a typesense_query tool for searching documents with filtering and sorting.
- Provides prompts for analyzing collection structure and suggesting effective search queries.
Use Cases
- Allowing LLMs to retrieve specific documents from Typesense based on user input.
- Enabling AI assistants to answer user questions based on data stored in Typesense.
- Providing AI models with the ability to analyze the contents and structure of Typesense collections.
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