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781,269 tools. Updated 2026-11-14 06:30

"Learning or Writing Code in Python" matching MCP tools:

  • 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
  • Execute Python code or run a file on a connected MicroPython or CircuitPython board, with timeout handling to interrupt long-running programs.
    MIT
    Destructive
  • Creates SAS Intelligent Decisioning code files in DS2, Python, or SQL from provided code and an optional signature, then reports whether the code parsed.
    Apache 2.0
  • Export any saved estimator or pipeline as executable Python code. Provide a handle ID and optional variable name to generate runnable code with fit example.
    BSD 3-Clause
  • Create a DAT in TouchDesigner preloaded with Python code, choosing a text, execute, or script type to control how the code runs.
    MIT
    Destructive

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  • 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.

  • Check Python code before writing it to disk: parse, lint, type-check, and scan for security issues and credentials without running untrusted source.
    MIT
  • Generate architecture diagrams from Python code using the diagrams package. Create AWS, Kubernetes, and custom diagrams by writing code that defines components and connections.
    Apache 2.0
  • 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
  • Retrieve SDK code examples for building Agno agents. Provide a category such as agents, tools, or memory to get complete, runnable Python code.
    MIT
  • Run sandboxed Python code snippets in a restricted environment with a timeout, capturing stdout, stderr, and exit status.
    GPL 2.0
  • Retrieve the team's code standards before writing changes, ensuring your code meets expectations from the start and minimizing review corrections.
    -
  • Analyze code snippets in JavaScript, TypeScript, Python, Java, Go, PHP, or Ruby to identify bugs, code smells, security issues, and complexity problems without needing a file on disk.
    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 secure sandbox using Jupyter syntax, capturing standard output and errors.
    MIT
  • Run Python code securely in a WebAssembly sandbox to execute scripts and return output. Supports pure Python without external dependencies.
    Apache 2.0
  • Execute Python or JavaScript code securely in a sandboxed environment with configurable timeout up to 60 seconds. Authenticate using a credit token or x402.
    MIT