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727,998 tools. Updated 2026-10-31 08:07

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

  • Run code in a secure, isolated sandbox across multiple languages, install libraries, and capture generated visualizations for safe execution of LLM-generated code.
    MIT
  • Creates an isolated sandbox environment with specified language and dependencies for secure code execution.
    MIT
  • Execute Python or JavaScript code in a secure sandbox. Install packages via comma-separated list and retrieve stdout, stderr, and error details.
    Apache 2.0
  • 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
  • Install Python pip or Node.js npm packages inside a secure sandbox environment. Specify language and package list to set up dependencies for code execution.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    F
    maintenance
    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.
    1,692 PyPI
    194
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    8
    Apache 2.0

Matching MCP Connectors

  • Run Python code from natural language prompts, with optional PyPI package install.

  • Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.

  • 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 Python code in a secure E2B sandbox to test scripts, manage files, and install packages without affecting your local environment.
    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.
    -
  • Generate sandbox-safe code examples in cURL, Node.js, or Python for SignalEDI REST operations. Uses environment placeholders and synthetic values, avoids credentials, and sets outbound to SANDBOX.
    MIT
  • Execute bash commands within the sktime container to install Python packages or inspect files.
    BSD 3-Clause
  • Execute Python code in a sandboxed environment with JAX and model fitting libraries, using export() to return results. Use for running generated or custom model fitting code.
    MIT
  • Restarts the application. `reinstall_dependencies` reinstalls dependencies from scratch (ignoring the install cache); `force_build` runs the build command again even without a code change.
    MIT
    Destructive
  • Execute Python code in a restricted subprocess to deterministically verify math, logic, and code analysis tasks using symbolic engines.
    Apache 2.0
  • Retrieve full block details: manifest, install command, dependencies, and source code for free blocks or unlock instructions for pro blocks.
    MIT
  • Run shell commands in a sandbox to safely execute AI-generated code and retrieve stdout, stderr, and exit code.
    Apache 2.0
  • Create a secure sandbox environment to run AI-generated code in isolated microVMs. Returns a sandbox ID for managing the sandbox lifecycle.
    Apache 2.0