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Why this server?
Allows AI models to run JavaScript/TypeScript code through Model Context Protocol tool calls, supporting both one-time script execution and stateful REPL sessions with npm package integration. This is helpful for testing javascript codes.
Why this server?
Enables execution of Python code and accessing websites, providing a basic sandboxed environment.
Why this server?
While focused on PowerPoint, it can create AI-generated images through Stable Diffusion, which implies some degree of code execution or environment control.
Why this server?
Provides a secure file system access and sequential thinking capabilities
Why this server?
Provides a sandboxed environment to run Windows command-line tools
Why this server?
Provides the function of time queries, which is useful in setting the execution time of the sandbox environment.
Why this server?
Offers a lightweight and easy-to-setup Python execution environment, suitable for testing and running code snippets.
Why this server?
Allows execution of bash commands in a safe and controlled manner, offering a shell environment for experimentation.
Why this server?
Enables the execution of JavaScript and TypeScript code, providing a REPL environment and npm package integration, which is suitable for a sandbox.
Why this server?
A simple TypeScript library for creating Model Context Protocol (MCP) servers with features like type safety, parameter validation, and a minimal code API.