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134,831 tools. Last updated 2026-05-14 09:21

"Design Resources and Prototyping Best Practices" matching MCP tools:

  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Analyze code for security vulnerabilities, performance issues, and best practices violations. Correlates multiple files to provide automated quality scoring and improvement suggestions.
    Apache 2.0
  • Check element correctness and best practices for personas, skills, templates, agents, memories, or ensembles in DollhouseMCP's AI persona management system.
  • Analyze PostgreSQL configuration settings to identify performance issues and receive optimization recommendations for memory, checkpoints, WAL, autovacuum, and connection parameters based on system resources and best practices.
    Apache 2.0

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  • The industry standard reference for safe, observable, and steerable AI agent UX. Browse and search the 10 Blueprint principles, principle clusters, curated implementation examples, and application guides. 13 public tools require no credentials. Tools for learning path, coaching context, and handoffs require a Firebase Bearer token. Validation and usage summary tools require a Pro or Teams membership.

  • Enterprise-safe agentic AI design doctrine. Read-only MCP, UK/EU residency, zero-training policy.

  • Fetches live documentation and best practices for any topic, normalized to current year (2026). Works for libraries, web standards, security, accessibility, performance, and more.
    Elastic 2.0
  • Run a full Lighthouse audit to get Performance, Accessibility, Best Practices, and SEO scores (0-100) along with detailed findings on render-blocking resources, image optimization, and unused code.
    MIT
  • Retrieve Ember best practices for any topic, including modern patterns, anti-patterns, performance tips, and community-approved approaches.
    MIT
  • Retrieve complete Apple sample projects to learn implementation patterns and best practices through working examples.
    Apache 2.0
  • Analyzes RxJS operator chains to identify creation functions, operators, performance patterns, and best practices. Optionally suggests alternatives and checks performance.
    MIT
  • Provides best practices guidance for designing, optimizing, and securing Apache Airflow workflows on Amazon MWAA, covering DAG patterns, performance, resource management, error handling, and security.
    Apache 2.0
  • Retrieve documentation sections to understand use cases and best practices for browser automation tools.
    MIT
  • Retrieve universal development rules and best practices for Modus Web Components to ensure consistent code quality and adherence to design system guidelines.
    MIT
  • Retrieve comprehensive Splunk administration guides for any topic, covering configuration, management, and best practices, with version-specific details.
  • Analyze source code to identify bugs, security vulnerabilities, and improvement opportunities while suggesting best practices for various programming languages.