A collection of Model Context Protocol (MCP) tools for Modal
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# Modal MCP Toolbox 🛠️ [](https://smithery.ai/server/@philipp-eisen/modal-mcp-toolbox) 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](https://block.github.io/goose/) or the [Claude Desktop App](https://claude.ai/download). <a href="https://glama.ai/mcp/servers/ai78w0p5mc"><img width="380" height="200" src="https://glama.ai/mcp/servers/ai78w0p5mc/badge" alt="Modal Toolbox MCP server" /></a> ## 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  ### Python Code Execution  ## Prerequisites - A [modal account](https://modal.com/signup) and a configured modal CLI. - [UV](https://github.com/astral-sh/uv?tab=readme-ov-file#installation) - A client that supports MCP. Such as the [Claude Desktop App](https://claude.ai/download) or [Goose](https://block.github.io/goose/) 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.  Add the config for the mcp server. My config looks like this: ```json { "mcpServers": { "modal-toolbox": { "command": "uvx", "args": ["modal-mcp-toolbox"] } } } ``` ### Goose Go to `Settings` and Click on Add.  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 fil…
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