Creates an isolated sandbox environment with specified language and dependencies for secure code execution.
MIT
522,763 tools. Updated 2026-09-06 13:08
"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
- 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, 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
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
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Validates AI-generated Python: syntax, lint, security scan and deterministic repair.
- 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 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 code in a disposable remote sandbox with optional GPU acceleration, providing an isolated, ephemeral environment for untrusted or resource-heavy workloads.MITDestructive
- 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
- 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