Run isolated code in a disposable remote Modal sandbox with optional GPU (T4–H100). Provides a clean, ephemeral environment for untrusted code, charged per requested timeout.
MIT
476,294 tools. Updated 2026-08-25 09:28
"A sandbox for executing Python code" matching MCP tools:
- 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.MIT
- Check Python strategy code for valid syntax, required hooks, and forbidden patterns before running it, without executing the code.MIT
- Run Python code in a sandbox with numpy, math, and ax_core.argmin. Use export(name, value) to return results.MIT
- Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.MIT No Attribution
- Retrieve the active Python execution environment for new code cells in Circuitry's visual workflow platform.Inno Setup
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Matching MCP Connectors
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
- Run shell commands in a sandbox to safely execute AI-generated code and retrieve stdout, stderr, and exit code.Apache 2.0
- Execute Python code and retrieve output. Variables persist across runs for stateful workflows.MIT
- 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
- Configure Python code execution environment for new cells by specifying target runtime like pyodide, local computer, or remote server.Inno Setup
- 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
- Execute Python or JavaScript in a secure, isolated sandbox to test code, verify calculations, or transform data, and receive stdout/stderr output.MIT
- Report the execution environment status including Python and uv versions, platform, sandbox configuration, and cache.MIT
- Run Python code in a sandbox to interact with STAAD.Pro models—define load cases, extract data, and set properties via the pre-connected staad object.MIT
- Validate Python script metadata and dependencies without execution. Checks PEP 723 syntax, dependency format, and requires-python compatibility.MIT
- Query AI with model selection, sandbox code execution, and structured edit mode for code modifications.MIT
- Update JavaScript code of a flow page JS block. The code runs in a NocoBase sandbox and uses ctx.render(htmlString) to render output.MIT
- Solves complex problems by searching the web, analyzing URLs, and executing Python code for data analysis and research.MIT