Execute Python code securely in a sandbox environment, with options for pip install commands, JSON parsing, timeout, memory allocation, and saving output files.
Execute compiled SQL model files against a target database, ensuring data models are materialized in the correct order based on their dependency graph.
Execute JavaScript code securely in a sandbox environment, with options for NPM commands, JSON parsing, and configurable timeouts. Ideal for testing and automation tasks on the Dumpling AI MCP Server.
Build and run Xcode projects on iOS devices or simulators by specifying project paths, schemes, and target devices. Use this tool to deploy apps for testing and debugging with configurable build settings and environment variables.
A simple example MCP server built with Bun that provides basic utility tools including current time retrieval, message echoing, and number addition. Serves as a template for building MCP servers with Bun runtime.
Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.
A hub server that connects to and manages other MCP servers, allowing users to bypass Cursor's 40-tool limit and reduce AI mistakes by hiding infrequently used tools.