Typesense MCP Server
Description
[](https://mseep.ai/app/suhail-ak-s-mcp-typesense-server) # Typesense MCP Server --- [](https://mseep.ai/app/suhail-ak-s-mcp-typesense-server) # Typesense MCP Server --- [](https://badge.fury.io/js/typesense-mcp-server) [
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Typesense MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via npm install -g typesense-mcp-server or run directly with npx -y typesense-mcp-server. Configure in Claude Desktop by adding a JSON entry with command, args including --host, --port, --protocol, and --api-key. The server communicates over stdio.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"typesense mcp server": {
"mcp-typesense-server": {
"command": "npx",
"args": [
"@michaellatman/mcp-get@latest",
"install",
"typesense-mcp-server"
]
}
}
}
}McpServers
{
"mcp-typesense-server": {
"command": "npx",
"args": [
"@michaellatman/mcp-get@latest",
"install",
"typesense-mcp-server"
]
}
}Typesense MCP Server
---
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.
Demo
Features
Resources
- List and access collections viatypesense:// URIs
- Each collection has a name, description, and document count
- JSON mime type for schema access
Tools
- typesense_query - Search for documents in Typesense collections with powerful filtering - Input: Query text, collection name, search fields, filters, sort options, limit - Returns matching documents with relevance scores- typesense_get_document
- Retrieve specific documents by ID from collections
- Input: Collection name, document ID
- Returns complete document data
- typesense_collection_stats
- Get statistics about a Typesense collection
- Input: Collection name
- Returns collection metadata, document count, and schema information
Prompts
- analyze_collection - Analyze collection structure and contents - Input: Collection name - Output: Insights about schema, data types, and statistics- search_suggestions
- Get suggestions for effective search queries for a collection
- Input: Collection name
- Output: Recommended search strategies based on collection schema
Installation
Via npm
```bash
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