mcp-toolbox

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.

GitHub repository: https://github.com/ai-zerolab/mcp-toolbox/
(WIP)Documentation: https://ai-zerolab.github.io/mcp-toolbox/

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.

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

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

Claude Desktop Configuration

To use mcp-toolbox with Claude Desktop, add the following to your Claude Desktop configuration file:

{
  "mcpServers": {
    "zerolab-toolbox": {
      "command": "uvx",
      "args": ["mcp-toolbox@latest", "stdio"],
      "env": {
        "FIGMA_API_KEY": "your-figma-api-key"
      }
    }
  }
}

You can generate a debug configuration template using:

uv run generate_config_template.py

Available Tools

Command Line Tools

Tool	Description
`execute_command`	Execute a command line instruction

File Operations Tools

Tool	Description
`read_file_content`	Read content from a file
`write_file_content`	Write content to a file
`replace_in_file`	Replace content in a file using regular expressions
`list_directory`	List directory contents with detailed information

Figma Tools

Tool	Description
`figma_get_file`	Get a Figma file by key
`figma_get_file_nodes`	Get specific nodes from a Figma file
`figma_get_image`	Get images for nodes in a Figma file
`figma_get_image_fills`	Get URLs for images used in a Figma file
`figma_get_comments`	Get comments on a Figma file
`figma_post_comment`	Post a comment on a Figma file
`figma_delete_comment`	Delete a comment from a Figma file
`figma_get_team_projects`	Get projects for a team
`figma_get_project_files`	Get files for a project
`figma_get_team_components`	Get components for a team
`figma_get_file_components`	Get components from a file
`figma_get_component`	Get a component by key
`figma_get_team_component_sets`	Get component sets for a team
`figma_get_team_styles`	Get styles for a team
`figma_get_file_styles`	Get styles from a file
`figma_get_style`	Get a style by key

XiaoyuZhouFM Tools

Tool	Description
`xiaoyuzhoufm_download`	Download a podcast episode from XiaoyuZhouFM with optional automatic m4a to mp3 conversion

Audio Tools

Tool	Description
`get_audio_length`	Get the length of an audio file in seconds
`get_audio_text`	Get transcribed text from a specific time range in an audio file

Usage Examples

Running the MCP Server

# Run with stdio transport (default)
mcp-toolbox stdio

# Run with SSE transport
mcp-toolbox sse --host localhost --port 9871

Using with Claude Desktop

Configure Claude Desktop as shown in the Configuration section
Start Claude Desktop
Ask Claude to interact with Figma files:
- "Can you get information about this Figma file: 12345abcde?"
- "Show me the components in this Figma file: 12345abcde"
- "Get the comments from this Figma file: 12345abcde"
Ask Claude to execute command line instructions:
- "What files are in the current directory?"
- "What's the current system time?"
- "Show me the contents of a specific file."
Ask Claude to download podcasts from XiaoyuZhouFM:
- "Download this podcast episode: https://www.xiaoyuzhoufm.com/episode/67c3d80fb0167b8db9e3ec0f"
- "Download and convert to MP3 this podcast: https://www.xiaoyuzhoufm.com/episode/67c3d80fb0167b8db9e3ec0f"
Ask Claude to work with audio files:
- "What's the length of this audio file: audio.m4a?"
- "Transcribe the audio from 60 to 90 seconds in audio.m4a"
- "Get the text from 2:30 to 3:00 in the audio file"

Development

Local Setup

Fork the repository and clone it to your local machine.

# Install in development mode
make install
# Activate a virtual environment
source .venv/bin/activate  # For macOS/Linux
# or
.venv\Scripts\activate  # For Windows

Running Tests

make test

Running Checks

make check

Building Documentation

make docs

Adding New Tools

To add a new API integration:

Update config.py with any required API keys
Create a new module in mcp_toolbox/
Implement your API client and tools
Add tests for your new functionality
Update the README.md with new environment variables and tools

See the development guide for more detailed instructions.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the terms of the license included in the repository.