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598,354 tools. Updated 2026-09-21 22:37

"Guidance for Understanding Large Codebases and Learning Their Architecture" matching MCP tools:

  • Discover all URLs on a website without scraping content. Use for sitemap audits, finding unindexed pages, and understanding site structure.
    MIT
  • Generate a Mermaid architecture diagram of Go package dependencies to visualize structure for onboarding or architecture review. Group by module or file, and control depth for large codebases.
    MIT

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  • Understand large codebases by sending a prompt; receive a structured analysis report with key findings and code insights.
    MIT
  • Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.
    MIT
  • Analyze codebases to understand structure, find patterns, map dependencies, and assess architecture using read-only access.
    MIT
  • Get answers to Hedera blockchain questions with code examples and citations. Adjust responses for beginner, intermediate, or advanced expertise levels.
    Apache 2.0
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Analyzes Apple API relationships to reveal inheritance, protocol conformances, and recommended alternatives for understanding how APIs work together.
    MIT
  • Analyzes large codebases by distributing files across multiple LLM services for parallel processing, reducing analysis time for projects with 20+ files.
    MIT
  • Retrieve detailed specifications of WindAI's machine learning model including architecture, training data, and accuracy metrics to understand prediction methodology.
    MIT
  • Quickly understand unfamiliar codebases by viewing project type, architecture, framework detection, quality tools, and CI. Filter sections like stack, ci, quality, or architecture.
    MIT
  • Retrieves detailed technical documentation for the currently selected u-he synth, covering preset format, parameters, modules, and architecture. Essential for understanding synth-specific settings before analyzing or creating presets.
    MIT
  • Load multiple files, compress them into temporary libraries, and retrieve relevant context for queries to understand large codebases or document sets without creating permanent libraries.
    MIT
  • Start a background validation job for large codebases to avoid timeouts. Run on scoped subdirectories in monorepos, then poll for progress and review the saved report.
    MIT