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227,381 tools. Last updated 2026-06-23 11:10

"A sandbox for executing Python code" matching MCP tools:

  • Run isolated code in a disposable remote sandbox with optional GPU. Provides a clean ephemeral environment for untrusted code execution.
    MIT
  • Execute JavaScript code in a sandbox environment to test scripts, process data, or run computations with configurable memory and timeout settings.
    MIT
  • Execute Python code in a sandbox to test scripts, process data, or run computations with configurable memory, timeout, and JSON parsing options.
    MIT
  • Execute Python/SymPy code to perform symbolic mathematics operations including algebra, calculus, and equation solving within a secure sandbox environment.
    MIT
  • 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
  • Retrieve system environment details including OS, Python version, installed libraries, and execution mode before generating code. Helps tailor code to the current setup and avoid errors.
    MIT

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  • Launch isolated Python sandboxes with configurable dependencies, GPU support, and environment variables for testing, ML workloads, and secure code execution.
    MIT
  • Execute Python code in a sandboxed macOS environment with no network access, restricted filesystem writes, and automatic timeout. Returns stdout, stderr, and exit code for safe autonomous agent use.
    Business Source 1.1
  • Creates an isolated sandbox environment with specified language and dependencies for secure code execution.
    MIT
  • Read Python code files to verify content before appending or executing, ensuring accurate code modifications and execution.
    MIT
  • Run Python code securely in a WebAssembly sandbox to execute scripts and return output. Supports pure Python without external dependencies.
    Apache 2.0
  • Run Python code inside Blender's sandboxed environment. Automate 3D modeling, animation, and rendering with secure execution of scripts.
    AGPL 3.0
  • Execute code in a temporary sandbox, automatically destroying it post-execution. Supports multiple languages, custom environment variables, and optional file download. Ideal for isolated, one-time code runs without persistent sandbox operations.
    MIT
  • Set up a Linux sandbox to execute code, run commands, and manage files. Create a sandbox with custom settings, obtain a sandbox_id for operations, and control costs by pausing automatically after use.
    MIT
  • Execute Python code in a persistent sandbox environment to run computations, analyze data, or build multi-tool workflows while maintaining state across executions.
    GPL 3.0
  • Run Python code against a loaded context in a sandboxed subprocess for secure data analysis. Set the result variable for output. Optional timeout and security checks.
    MIT
  • Estimate token cost and latency for executing code by analyzing historical samples of similar call patterns.
    MIT