ai-zerolab/mcp-toolbox

Developer tools

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Repository Install

Maintenance of a set of tools to enhance LLM through MCP protocols.

개요

A comprehensive toolkit for enhancing LLM capabilities through the Model Context Protocol (MCP). This package provides a collection of tools that allow LLMs to interact with external services and APIs, extending their functionality beyond text generation. - : https://github.com/ai-zerolab/mcp-toolbox/ - (WIP): https://ai-zerolab.github.io/mcp-toolbox/ *nix is our main target, but Windows should work too. - : Execute any command line instruction through LLM - : Access Figma files, components, styles, and more - : Easily add new API integrations - : Compatible with Claude Desktop and other MCP-enabled LLMs - : Well-tested codebase with high test coverage We recommend using uv to manage your environment. Then you can use uvx "mcp-toolbox@latest" stdio as commands for running the MCP server for latest version.

README

원문 README의 일부입니다. 원문 보기.

mcp-toolbox

GitHub repository:
(WIP)Documentation:

Features

*nix is our main target, but Windows should work too.

Command Line Execution: Execute any command line instruction through LLM
Figma Integration: Access Figma files, components, styles, and more
Extensible Architecture: Easily add new API integrations
MCP Protocol Support: Compatible with Claude Desktop and other MCP-enabled LLMs
Comprehensive Testing: Well-tested codebase with high test coverage

Installation

Using uv (Recommended)

We recommend using uv to manage your environment.

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh  # For macOS/Linux
# or
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"  # For Windows

Then you can use uvx "mcp-toolbox@latest" stdio as commands for running the MCP server for latest version. Audio and memory tools are not included in the default installation., you can include them by installing the all extra:

[audio] for audio tools, [memory] for memory tools, [all] for all tools

uvx "mcp-toolbox[all]@latest" stdio

Installing via Smithery

To install Toolbox for LLM Enhancement for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @ai-zerolab/mcp-toolbox --client claude

Using pip

pip install "mcp-toolbox[all]"

And you can use mcp-toolbox stdio as commands for running the MCP server.

Configuration

Environment Variables

The following environment variables can be configured:

FIGMA_API_KEY: API key for Figma integration
TAVILY_API_KEY: API key for Tavily integration
DUCKDUCKGO_API_KEY: API key for DuckDuckGo integration

GitHub에서 전체 README 보기

설치

uvx --prerelease=allow mcp-toolbox@latest stdio

MCP 초보자라면? mcpskill.org 가이드부터 시작하세요 →

설정

{
  "mcpServers": {
    "zerolab-toolbox": {
      "command": "uvx",
      "args": ["--prerelease=allow", "mcp-toolbox@latest", "stdio"],
      "env": {
        "FIGMA_API_KEY": "your-figma-api-key",
        "TAVILY_API_KEY": "your-tavily-api-key",
        "DUCKDUCKGO_API_KEY": "your-duckduckgo-api-key",
        "BFL_API_KEY": "your-bfl-api-key"
      }
    }
  }
}