modal-mcp-toolbox
Modal-based MCP tools for LLM extensions. modal-mcp-toolbox is a Model Context Protocol (MCP) server maintained by philipp-eisen. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 2 tools, including run_python_code_in_sandbox and generate_flux_image, that an agent can call directly. It is categorized under AI/LLM and Tool/Modal.
What is this MCP
This is a collection of Model Context Protocol (MCP) tools that run on Modal, designed to extend the capabilities of LLMs in clients like Goose or Claude Desktop App.
How to use this MCP
Install via Modal CLI and configure in supported clients (Claude Desktop or Goose) by adding the MCP server configuration with the commanduvx modal-mcp-toolbox.
What this MCP can be used for
It enables running Python code in sandboxed environments and generating images using the FLUX model, enhancing LLM functionality with safe code execution and image generation capabilities.
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the modal-mcp-toolbox MCP server?
modal-mcp-toolbox is a Model Context Protocol server from philipp-eisen. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect modal-mcp-toolbox to my AI client?
Add modal-mcp-toolbox to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does modal-mcp-toolbox provide?
modal-mcp-toolbox provides 2 tools: run_python_code_in_sandbox and generate_flux_image.
Is modal-mcp-toolbox free to use?
modal-mcp-toolbox is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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