Typesense MCP Server

Name: Typesense MCP Server
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 Typesense MCP Server

Mirror of

#typesense #mcp-server #data-management

基本信息

分类

其他

许可证

MIT license

运行时

python

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Typesense MCP Server?

The Typesense MCP Server is a Model Context Protocol (MCP) server that interfaces with Typesense, an open-source search engine. It provides tools to manage collections, documents, and perform search operations, intended for developers integrating Typesense with MCP-compatible clients.

How to use Typesense MCP Server?

Install uv, clone the repository, and configure the server in your MCP client (e.g., Cursor’s mcp.json) by setting the environment variables TYPESENSE_HOST, TYPESENSE_PORT, TYPESENSE_PROTOCOL, and TYPESENSE_API_KEY. Then run the server via the uv command.

Key features of Typesense MCP Server

Check Typesense server health.
List, describe, create, delete, and truncate collections.
Export all documents from a collection.
Create, upsert, and delete single documents.
Index multiple documents in batch.
Import documents from CSV data.
Perform keyword and vector similarity search.

Use cases of Typesense MCP Server

Manage Typesense collections and documents from an MCP client.
Import CSV data into a Typesense collection effortlessly.
Execute keyword or vector search queries programmatically.
Automate indexing of multiple documents in a single batch.

FAQ from Typesense MCP Server

What is the Typesense MCP Server?

It is an MCP server that provides tools to interact with Typesense, allowing you to manage collections, documents, and perform searches through the Model Context Protocol.

What dependencies are required?

You need Python, the uv package manager, and a running Typesense server instance. The server uses environment variables to connect to Typesense.

How do I configure the server?

Set the environment variables TYPESENSE_HOST, TYPESENSE_PORT, TYPESENSE_PROTOCOL, and TYPESENSE_API_KEY in your MCP client configuration.

What tools are available?

Tools are grouped into server management (health check, list collections), collection management (describe, export, create, delete, truncate), document operations (create, upsert, batch index, delete, CSV import), and search (keyword search, vector search).