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Typesense MCP Server

by MCP-Mirror

A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. This server enables LLMs to discover, search, and analyze data stored in Typesense collections.

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What is Typesense MCP Server?

The Typesense MCP Server is an implementation of the Model Context Protocol (MCP) that allows AI models, specifically Large Language Models (LLMs), to interact with and leverage the search capabilities of Typesense. It acts as a bridge, enabling LLMs to discover, search, and analyze data stored within Typesense collections.

How to use Typesense MCP Server?

The server can be installed via npm or mcp-get. After installation, it needs to be configured with your Typesense host, port, protocol, and API key. You can then integrate it with tools like Claude Desktop by adding the server configuration to the claude_desktop_config.json file. The server exposes resources and tools accessible via the MCP protocol, allowing LLMs to query and retrieve information from Typesense.

Key features of Typesense MCP Server

  • Lists and accesses Typesense collections via typesense:// URIs

  • Provides tools for searching documents (typesense_query), retrieving specific documents (typesense_get_document), and getting collection statistics (typesense_collection_stats)

  • Offers prompts for analyzing collection structure and contents (analyze_collection) and getting search suggestions (search_suggestions)

  • Provides JSON schema information for each collection

Use cases of Typesense MCP Server

  • Enabling LLMs to search and retrieve relevant information from a knowledge base stored in Typesense.

  • Allowing LLMs to analyze and understand the structure and contents of Typesense collections.

  • Providing LLMs with the ability to suggest effective search queries for a given collection.

  • Integrating Typesense search capabilities into AI-powered applications and workflows.

FAQ from Typesense MCP Server

What is MCP?

MCP stands for Model Context Protocol. It's a protocol that allows AI models to access and interact with external data sources and tools.

What is Typesense?

Typesense is an open-source, typo-tolerant search engine optimized for speed and developer experience.

How do I install the Typesense MCP Server?

You can install it globally or locally using npm, or via mcp-get.

How do I configure the server?

You need to provide your Typesense host, port, protocol, and API key in the server configuration.

Where are the server logs located?

The server logs are located at /tmp/typesense-mcp.log.