- Explore MCP Servers
- mcp-typesense-server
Mcp Typesense Server
What is Mcp Typesense Server
mcp-typesense-server is an implementation of the Model Context Protocol (MCP) that provides AI models with access to Typesense search capabilities, allowing for data discovery, search, and analysis within Typesense collections.
Use cases
Use cases for mcp-typesense-server include enhancing AI model capabilities for data retrieval, enabling advanced search functionalities in applications, and providing insights into data structures for better decision-making.
How to use
To use mcp-typesense-server, install it via npm or mcp-get, configure it with your Typesense host and API key in the Claude Desktop app, and run the server. You can then utilize various tools and prompts for searching and analyzing data.
Key features
Key features include listing and accessing collections, powerful document search with filtering, retrieving specific documents by ID, collection statistics, and analysis of collection structure and contents.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Typesense Server
mcp-typesense-server is an implementation of the Model Context Protocol (MCP) that provides AI models with access to Typesense search capabilities, allowing for data discovery, search, and analysis within Typesense collections.
Use cases
Use cases for mcp-typesense-server include enhancing AI model capabilities for data retrieval, enabling advanced search functionalities in applications, and providing insights into data structures for better decision-making.
How to use
To use mcp-typesense-server, install it via npm or mcp-get, configure it with your Typesense host and API key in the Claude Desktop app, and run the server. You can then utilize various tools and prompts for searching and analyzing data.
Key features
Key features include listing and accessing collections, powerful document search with filtering, retrieving specific documents by ID, collection statistics, and analysis of collection structure and contents.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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 via
typesense://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
# Global installation
npm install -g typesense-mcp-server
# Local installation
npm install typesense-mcp-server
Via mcp-get
npx @michaellatman/mcp-get@latest install typesense-mcp-server
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation for Development
Using Claude Desktop
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Components
Resources
The server provides information about Typesense collections:
- Collection Schemas (
typesense://collections/<collection>)- JSON schema information for each collection
- Includes field names and data types
- Sample documents for understanding data structure
Resource Templates
The server provides templates for:
- typesense_search - Template for constructing Typesense search queries
- typesense_collection - Template for viewing Typesense collection details
Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the “mcpServers” section of your claude_desktop_config.json:
{
"mcpServers": {
"typesense": {
"command": "npx",
"args": [
"-y",
"typesense-mcp-server",
"--host",
"your-typesense-host",
"--port",
"8108",
"--protocol",
"http",
"--api-key",
"your-api-key"
]
}
}
}
Logging
The server logs information to a file located at:
/tmp/typesense-mcp.log
This log contains detailed information about server operations, requests, and any errors that occur.
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.











