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138,645 tools. Last updated 2026-05-20 17:18

"A sandbox environment to run Python code and install dependencies" matching MCP tools:

  • Execute Python code in a secure sandbox environment to test scripts, analyze data, or run computational tasks with libraries like numpy, pandas, and matplotlib.
    MIT
  • Execute JavaScript code in a secure Node.js sandbox container. Install npm dependencies, run ESModules, and manage persistent files for complex workflows. Manually stop the sandbox to free resources after execution.
  • Install the mockzilla CLI using one of three methods: download a prebuilt binary, compile from source with Go install, or use Go run without permanent installation.
    MIT
  • Execute Python or JavaScript code in a sandbox to test scripts, debug algorithms, or run isolated code snippets safely.
    MIT
  • Run Python code directly in FreeCAD to control its functionality. Returns execution status, output, and object screenshots for integration and automation tasks.
    MIT

Matching MCP Servers

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    Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.
    Last updated
    193
    MIT
  • A
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    Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
    Last updated
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    Apache 2.0

Matching MCP Connectors

  • Cloudflare Workers MCP server: code-explainer

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Converts Python source files to follow PEP 8 style guidelines, standardizing code formatting and enhancing readability.
    Apache 2.0
  • Execute Python/SymPy code to perform symbolic mathematics operations including algebra, calculus, and equation solving within a secure sandbox environment.
    MIT
  • Run async Python in a sandbox to orchestrate Amazon Ads API calls via call_tool, enabling custom automation and workflows.
    MIT
  • Execute code in a sandbox subprocess and return only a concise summary to preserve LLM context. Handles large outputs across JavaScript, Python, Shell, and more.
    Elastic 2.0
  • Fetches and writes a CustomClaw utility payload to a specified directory. For paid utilities, requires a Stripe session ID from the buyer's receipt. Returns written files and npm dependencies but does not run install.
    MIT
  • Run Python code in a stateful IPython kernel within a Docker container. Maintain variables, imports, and definitions across executions for iterative workflows. Supports async code with 'await' and sequential executions with shared kernel state.
    Apache 2.0
  • Copy files from your local system to a Modal sandbox environment for uploading inputs, transferring configurations, or deploying code to isolated cloud-based Python environments.
    MIT
  • Execute Python code directly in an Odoo environment to access models, modify data, and perform database operations with persistent state between calls.
    MIT
  • Launch an Ubuntu desktop sandbox to browse the web or execute code, then access the stream URL to monitor the instance in real time.
    MIT
  • Retrieve Conda installation details and environment information to diagnose Python configuration issues and understand system setup.
    MIT
  • Retrieve detailed information about official Arch Linux repository packages, including version, dependencies, and install size. Uses local pacman or API fallback.
    GPL 3.0