What is the Typesense MCP Server?

It's a Model Context Protocol (MCP) server that allows AI models, like LLMs, to access and interact with data stored in Typesense collections, enabling search, analysis, and discovery.

What tools are included in the Typesense MCP Server?

It includes `typesense_query` for searching, `typesense_get_document` for retrieving documents by ID, and `typesense_collection_stats` for collection metadata.

How do I install the Typesense MCP Server?

You can install it globally or locally using npm, or via mcp-get. See the documentation for detailed installation instructions.

What can I do with the Typesense MCP Server?

You can use it to search your Typesense data with AI, retrieve specific documents, analyze collection statistics, and get suggestions for effective search queries.

Can I use this with Claude Desktop?

Yes! Configuration instructions for Claude Desktop are provided to integrate the Typesense MCP Server, allowing you to leverage Typesense search within Claude.

Typesense

Name: Typesense
Author: suhail-ak-s

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Connects AI models to Typesense search capabilities, enabling discovery, search, and analysis of data stored within Typesense collections.

Typesense

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Connects AI models to Typesense search capabilities, enabling discovery, search, and analysis of data stored within Typesense collections.

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.

主要功能

01Lists and accesses Typesense collections via typesense:// URIs.

02Offers a typesense_get_document tool for retrieving specific documents by ID.

03Includes a typesense_collection_stats tool for gathering collection metadata and statistics.

043 GitHub stars

05Provides a typesense_query tool for searching documents with filtering and sorting.

06Provides prompts for analyzing collection structure and suggesting effective search queries.

使用案例

01Allowing LLMs to retrieve specific documents from Typesense based on user input.

02Enabling AI assistants to answer user questions based on data stored in Typesense.

03Providing AI models with the ability to analyze the contents and structure of Typesense collections.