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Beauty1 MCP Server Configuration

Beauty1 MCP Server Configuration

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github.com/Spa42Developer Tools0Updated 80w ago
Repository

About Beauty1 MCP Server Configuration

Beauty1 MCP Server Configuration is a configuration repository for using Smithery toolbox with the Beauty1 project in Cursor. It documents installation and the server settings.

Key features

  1. 01Smithery toolbox 配置
  2. 02Cursor 客户端安装说明
  3. 03服务器设置说明

Use cases

  1. 01为 Beauty1 配置 Cursor 中的 Smithery toolbox
  2. 02检查 Smithery toolbox 是否安装

MCP support

It documents a Smithery MCP server configuration for Cursor, including installation and verification commands.

#beauty1#mcp#server-configuration

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "beauty1": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Beauty1 MCP Server Configuration

This repository contains the MCP (Multi-Client Protocol) server configuration for the Beauty1 project.

Setup

  1. Install the Smithery toolbox:
npx -y @smithery/cli@latest install @smithery/toolbox --client cursor --config '{"dynamic":false,"smitheryApiKey":"@smithery/toolbox"}'
  1. Verify the installation:
npx @smithery/cli@latest list

Configuration

The MCP server is configured with the following settings:

  • Server Name: smithery-toolbox
  • Type: smithery
  • Client: cursor
  • Dynamic: false
  • API Key: @smithery/toolbox

Usage

The Smithery toolbox provides additional functionality for the Beauty1 project through the Cursor IDE.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.