Typesense MCP Server

A Model Context Protocol (MCP) Server that interfaces with Typesense

Installation

Installing via Smithery

To install Typesense Server Integration for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @avarant/typesense-mcp-server --client claude

Manual Installation

Install uv

On Mac you can install it using homebrew

brew install uv

Clone the package

git clone git@github.com:avarant/typesense-mcp-server.git ~/typesense-mcp-server

Update your .cursor/mcp.json to use in Cursor

{
  "mcpServers": {
    "typesense": {
      "command": "uv",
      "args": ["--directory", "~/typesense-mcp-server", "run", "mcp", "run", "main.py"],
      "env": {
        "TYPESENSE_HOST": "",
        "TYPESENSE_PORT": "", 
        "TYPESENSE_PROTOCOL": "",
        "TYPESENSE_API_KEY": ""
      }
    }
  }
}

Available Tools

The Typesense MCP Server provides the following tools:

Server Management

• check_typesense_health - Checks the health status of the configured Typesense server
• list_collections - Retrieves a list of all collections in the Typesense server

Collection Management

• describe_collection - Retrieves the schema and metadata for a specific collection
• export_collection - Exports all documents from a specific collection
• create_collection - Creates a new collection with the provided schema
• delete_collection - Deletes a specific collection
• truncate_collection - Truncates a collection by deleting all documents but keeping the schema

Document Operations

• create_document - Creates a single new document in a specific collection
• upsert_document - Upserts (creates or updates) a single document in a specific collection
• index_multiple_documents - Indexes (creates, upserts, or updates) multiple documents in a batch
• delete_document - Deletes a single document by its ID from a specific collection
• import_documents_from_csv - Imports documents from CSV data into a collection

Search Capabilities

• search - Performs a keyword search on a specific collection
• vector_search - Performs a vector similarity search on a specific collection