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606,387 tools. Updated 2026-09-24 07:42

"How to run a Python script in a sandboxed environment" matching MCP tools:

  • Execute Python code in a sandboxed environment based on natural language prompts. Generate and run code, then return both the code and execution results.
    MIT
  • Execute code securely in a sandboxed environment supporting Python, JavaScript, Bash, and R, for $0.005 per execution.
    MIT
  • Create a DAT in TouchDesigner preloaded with Python code, choosing a text, execute, or script type to control how the code runs.
    MIT
    Destructive
  • Generate a Meep FDTD simulation script from a natural-language problem description. Returns runnable Python and an explanation; pass a previous error trace to patch failed runs.
    MIT
  • Execute a Python FLOX strategy against a CSV dataset in a sandboxed subprocess and return backtest statistics as JSON.
    MIT

Matching MCP Servers

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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Matching MCP Connectors

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

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Export a session as a runnable Python script that regenerates the model, drawings, and simulations, with checks and provenance for every computed result.
    Apache 2.0
  • Run DML for selected nodes in a deployed cloud environment to refresh data. Requires explicit confirmation before execution.
    MIT
    Destructive
  • Execute Python code in a sandboxed environment with numerical libraries, return exported results, and include verification certificates and diagnostics for solver outputs.
    MIT
  • Run a local .mjs file and record it as a script step in an active flow. Use when a local script is requested, passing the same flow name and project root.
    Apache 2.0
  • 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
  • Run a sandboxed script under specified chaos faults to identify failure events. Pinpoint system weaknesses by injecting faults and observing outcomes.
    MIT
    Destructive
  • Write UTF-8 text files to the workflow workspace, enabling agents to persist scripts, data, or outputs within a sandboxed environment.
    Apache 2.0
  • Execute Python code in a restricted subprocess to deterministically verify math, logic, and code analysis tasks using symbolic engines.
    Apache 2.0
  • Execute a method in a sandboxed environment by providing file and method UUIDs. Returns output, success, error, and optional benchmark data.
    MIT
  • Execute bash commands in a sandboxed environment. Use session IDs to maintain working directory, environment, and filesystem state across commands.
    Apache 2.0
  • Create a TouchDesigner DAT node preloaded with your Python code, choosing between text, execute, or script types. Stores code as a node for later execution.
    MIT
    Destructive
  • Run a skill's bundled script: list available ones, then execute with optional key-value inputs in a sandbox with 30-second timeout.
    Apache 2.0
  • Submit a Python script for background execution in PFC. Get a task ID to poll progress, cancel, or modify variables mid-run using companion tools.
    MIT