mcp-toolbox 0.0.6

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

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

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

1. Configure Claude Desktop as shown in the Configuration section
2. Start Claude Desktop
3. 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"
4. 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."

Development

Local Setup

# Clone the repository
git clone https://github.com/yourusername/mcp-toolbox.git
cd mcp-toolbox

# Create and activate a virtual environment
uv venv
source .venv/bin/activate  # For macOS/Linux
# or
.venv\Scripts\activate  # For Windows

# Install in development mode
uv pip install -e ".[dev]"

Running Tests

make test

Running Checks

make check

Building Documentation

make docs

Adding New Tools

To add a new API integration:

1. Update config.py with any required API keys
2. Create a new module in mcp_toolbox/
3. Implement your API client and tools
4. Add tests for your new functionality
5. 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.

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

License

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