T

Toolbox

The MCP Toolbox is a comprehensive toolkit that enhances the capabilities of LLM. It enables interaction with external services and APIs through the Model Context Protocol (MCP), extending the functions of LLM.
2.5 points
22

What is the MCP Toolbox Server?

The MCP Toolbox Server is a powerful collection of tools designed to extend the capabilities of large language models (LLMs) through the Model Context Protocol (MCP). It allows LLMs to access external services and APIs, enabling a wider range of functions.

How to use the MCP Toolbox Server?

You can start the server through a configuration file or the command line and interact with the LLM using instructions. For example, you can request the LLM to execute commands, process files, obtain images, etc.

Applicable Scenarios

The MCP Toolbox Server is suitable for various scenarios that require enhancing LLM capabilities, such as file management, web scraping, audio processing, and integration with external APIs.

Main Features

Execute Command-Line InstructionsAllows the LLM to perform any command-line operations, such as listing directories or viewing system time.
Figma IntegrationAccess Figma files, components, styles, etc., facilitating design collaboration.
Audio Processing ToolsGet the audio length and transcribe audio content within a specific time range.
Memory Management ToolsStore, retrieve, and delete memories for convenient long-term information recording.

Advantages and Limitations

Advantages
Supports multiple API integrations, with powerful and flexible functions.
Easy to expand, allowing new tools to be added according to requirements.
Comprehensive test coverage to ensure stability and reliability.
Limitations
Requires installing dependent environments (such as Python and uv).
Some advanced features may require additional API keys.

How to Use

Install the MCP Toolbox Server
Install the server using pip or uv tools.
Configure Environment Variables
Set the necessary API keys, such as the Figma API key.
Start the Server
Run the MCP Toolbox Server to start interacting with the LLM.

Usage Examples

Get Information about a Figma FileRequest the LLM to get information about a specified Figma file.
Generate an ImageRequest the LLM to generate an image of a beautiful sunset over mountains.

Frequently Asked Questions

How to install the MCP Toolbox Server?
Which API keys are required?
How to start the server?

Related Resources

Official Documentation
Detailed usage guide and API documentation.
GitHub Repository
Source code and issue tracking.
Community Forum
A platform for communication with other users.
Installation
Copy the following command to your Client for configuration
{
  "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"
      }
    }
  }
}

{
  "mcpServers": {
    "zerolab-toolbox": {
      "command": "uvx",
      "args": [
        "--prerelease=allow",
        "--python=3.12",
        "mcp-toolbox[all]@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"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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