Creates an isolated sandbox environment with specified language and dependencies for secure code execution.
MIT
553,202 tools. Updated 2026-09-12 17:34
"A sandbox environment to run Python code and install dependencies" matching MCP tools:
- 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
- Run Python, JavaScript, or TypeScript code in a secure sandbox, optionally install packages, and get output, errors, and execution time for testing or data processing.MIT
- 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
- Install Python packages in the Conda environment to enable code execution with required libraries and dependencies.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.-
Matching MCP Servers
MCP Run Pythonofficial
AlicenseNot gradedqualityFmaintenanceEnables 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.194MIT- AlicenseNot gradedqualityDmaintenanceEnables 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.8Apache 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.
- 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.-
- Execute Python code in a secure E2B sandbox to test scripts, manage files, and install packages without affecting your local environment.-
- Execute Python code in a sandbox to automate STAAD.Pro model tasks through the OpenSTAAD API, using pre-connected staad and input_data variables and optional file I/O.MITDestructive
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- Install npm dependencies for a Varity project. Specify packages or run full install after project creation.MITDestructive
- Execute bash commands within the sktime container to install Python packages or inspect files.BSD 3-Clause
- Run Python code in a sandbox with numpy, math, and ax_core.argmin. Use export(name, value) to return results.MIT
- Run Python code in an isolated environment with JAX, diffrax, equinox, and model fitting tools. Use export() to send outputs back.MIT
- 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
- Install a Python package using uv by specifying its name. Resolves dependencies and adds the package to your environment.MIT
- Execute smart contract functions in a sandbox environment to test and debug blockchain interactions without deploying to mainnet.MIT
- Run custom Python scripts in an isolated sandbox with full access to proxy and browser tools for automating complex security tests like race conditions, blind SQL injection, and exploit chains.MIT