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by suhail-ak-s • Search & Retrieval
An open-source MCP server that gives LLMs search and retrieval access to Typesense collections for discovering, searching, and analyzing data.
Discover available Typesense collections and inspect their schemas before querying.
Perform full-text and filtered searches across Typesense collections and retrieve ranked matching documents.
Fetch specific documents or collection statistics to analyze data structure and content for downstream tasks.
This MCP server implements the Model Context Protocol to expose Typesense collections, schemas, and documents to AI agents. It provides tools for listing collections, running full-text and filtered searches, fetching documents by ID, and retrieving collection statistics. The project includes resource templates, prompts for analyzing collections and generating search suggestions, and integrates with Claude Desktop for easy local usage. It is MIT-licensed and intended to enable LLMs to programmatically explore and query Typesense-hosted data.
Search for relevant documents in the TypeSense database based on the user's query.
Retrieve a specific document by ID from a Typesense collection
Get statistics about a Typesense collection
List all available Typesense collections with their schemas. Allows zero-conf discovery and routing - the LLM can enumerate collections at runtime and pick the right one(s) before searching. Useful when collections vary by environment, tenant, or version. Returns field definitions for schema inference.
Analyze a Typesense collection structure and contents
Get suggestions for effective search queries for a collection
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