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574,078 tools. Updated 2026-09-15 19:32

"Guide for Updating Code Version from Java 17 to 18 or Python 2 to 3" matching MCP tools:

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  • Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • 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
  • Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.
    MIT No Attribution
  • Compare two or more completed APK teardown jobs to build a version timeline. Returns pairwise diffs for each version transition, sorted by version code.
    MIT
  • Scan source code with Semgrep to find security vulnerabilities, bugs, and anti-patterns. Supports multiple languages including Python, JavaScript, Java, Go, C, C++, Ruby, and more.
    MIT No Attribution
  • Retrieve the complete content of a guide by providing its guide ID. Ideal for getting full context for a short guide or implementing a feature from scratch.
    MIT
  • Retrieve best practices for code patterns and recommendations by searching across all guides or within a specific guide using natural language queries.
    MIT
  • Extract a structural outline from Python files—imports, classes, functions, docstrings—to simplify code review, navigation, and documentation.
    MIT
  • Generate CDN URLs for SMS/MMS integration code templates in various programming languages, frameworks, and deployment platforms. Simplify BaaS API implementation with ready-to-use, maintained templates and guides.
    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 code with automatic retry and intelligent error analysis. On failure, it diagnoses the error, searches past solutions, and suggests fixes for robust execution.
    MIT