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Modal MCP Toolbox

by philipp-eisen
GitHub
Python
MIT License
21
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A collection of Model Context Protocol (MCP) tools that run on Modal. This let's you extend the capabilities of your LLM in tools such as Goose or the Claude Desktop App.

Tools

  • run_python_code_in_sandbox: Let's you run python code in a sandboxed environment.
  • generate_flux_image: Generate an image using the FLUX model.

Demo

Flux Image Generation

🎬Flux Image Generation

Python Code Execution

🎬Python Code Execution

Prerequisites

This runs against your modal account, so you will need to have a modal account and be logged in.

Installation

Installation depends on the client that uses the MCP. Here is instructions for Claude and Goose.

Claude

Got to Settings > Developer in the Claude Desktop App. And click on Edit Config. 🖼️Claude Settings

Add the config for the mcp server. My config looks like this:

{ "mcpServers": { "modal-toolbox": { "command": "uvx", "args": ["modal-mcp-toolbox"] } } }

Goose

Go to Settings and Click on Add.

🖼️Goose Settings

Then add an extension like in the screenshot below. The important part is to set command to:

uvx modal-mcp-toolbox

The rest you can fill in as you like.

🖼️Goose MCP Settings

Installing via Smithery (not working currently)

To install Modal MCP Toolbox for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @philipp-eisen/modal-mcp-toolbox --client claude
Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server compatible with clients like Goose and the Claude Desktop App.

  1. Tools
    1. Demo
      1. Flux Image Generation
      2. Python Code Execution
    2. Prerequisites
      1. Installation
        1. Claude
        2. Goose
        3. Installing via Smithery (not working currently)

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