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by philipp-eisen • Frontend & UI
A collection of MCP (Model Context Protocol) tools running on Modal that extend LLM capabilities with a Python sandbox and FLUX image generation.
Execute arbitrary Python code in an isolated, sandboxed environment and return results to the user.
Generate images using the FLUX model and supply those images back to the user or task flow.
Integrate tool capabilities into MCP-supporting clients (e.g., Claude Desktop or Goose) via a Modal-hosted server.
Modal MCP Toolbox provides small MCP tools that run on Modal to extend LLM toolchains such as Claude Desktop App or Goose. It includes a sandboxed Python code executor and a FLUX-based image generator, and is designed to be wired into MCP-capable clients. The project requires a Modal account and UV/uvx tooling and is intended to let agents call external functionality securely from the client.
Runs python code in a safe environment and returns the output. Usage: run_python_code_in_sandbox("print('Hello, world!')") run_python_code_in_sandbox("import requests print(requests.get('https://icanhazip.com').text)", requirements=["requests"])
Let's you generate an image using the Flux model.
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