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128,354 tools. Last updated 2026-05-06 02:01

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

  • Retrieve detailed specifications of WindAI's machine learning model including architecture, training data, and accuracy metrics to understand prediction methodology.
    MIT
  • Analyzes large codebases by distributing files across multiple LLM services for parallel processing, reducing analysis time for projects with 20+ files.
    MIT
  • Analyze large codebases or complex projects using Google Gemini's 1M token capacity for architecture design, code review, or comprehensive context analysis.
    MIT
  • Analyzes task characteristics to automatically select the best LLM service for processing, such as Gemini for large codebases or Qwen for code review.
    MIT
  • Create structured website maps to analyze site structure, discover content, and audit navigation paths for better understanding of web architecture.
    MIT
  • Create structured website maps to analyze site architecture, discover content, and audit navigation paths for better understanding of web structure.
    MIT

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Matching MCP Connectors

  • Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

  • Teres is the discovery and booking layer for AI agents. Search for real service businesses (barbershops, salons, spas, and more), check live availability, and create bookings directly in their existing systems — no API key required. Businesses connect their Square, and every MCP-compatible agent can find and book with them instantly. One of the first booking servers in the MCP registry.

  • Generate structured website maps to analyze site architecture, navigation paths, and content organization. Ideal for site audits, content discovery, and understanding web structure with customizable depth and breadth settings.
  • Retrieve the machine architecture (e.g., x86_64, aarch64) as JSON. Use for platform-conditional logic in agent workflows.
    MIT
  • Retrieve system identification details including kernel name, hostname, kernel release, kernel version, and machine architecture as structured JSON. Use for cross-platform system fingerprinting.
    MIT
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Audit Responsive Search Ad assets against Google's quantity and quality guidance to identify issues and get prioritized recommendations for adding or replacing headlines and descriptions.
    Apache 2.0
  • Retrieve specific recital text from EU regulations like GDPR or AI Act to understand legal context and interpretation guidance for articles.
  • Analyze website structure by mapping URLs to discover content organization, navigation paths, and site architecture for audits and content discovery.
  • Retrieve detected financial signals for companies, including earnings surprises, guidance changes, and insider activity, with pagination support.
    MIT
  • Retrieve management guidance tracker showing prior commitments versus actual outcomes (beat/miss/in-line) for company analysis.
    MIT