Skip to main content
Glama
299,345 tools. Last updated 2026-07-14 21:04

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

  • Retrieve AntV documentation, code examples, and best practices for implementation, debugging, learning, or task handling. Supports g2, g6, l7, x6, f2, s2, g, ava, adc libraries.
    MIT
  • 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 a UI pattern checklist for components like accordion, modal, tabs, dropdown, and toast. Includes best practices and common pitfalls.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Audit design tokens and naming conventions to verify consistency with accessibility and design system standards. Identifies structural issues in colors, spacing, and typography.
    MIT
  • Check element correctness and best practices for personas, skills, templates, agents, memories, or ensembles in DollhouseMCP's AI persona management system.
    AGPL 3.0
  • Search for current best practices, documentation, and guidance on any topic using real-time authoritative sources to reduce AI hallucinations.
    Elastic 2.0
  • Find design patterns for landing page layouts, UX guidelines, and product recommendations to improve page structures, accessibility, and conversion rates.
    MIT
  • Retrieve best practices for MCP server development. Optionally filter by topic such as security, testing, or tool design to obtain targeted guidance.
    Apache 2.0
  • Search the internet via DuckDuckGo to get titles, URLs, and snippets for research, documentation, and best practices.
    MIT
  • Retrieve authoritative best practices, design patterns, and performance guidelines for a library or framework from official sources, helping to solve common development challenges.
    Elastic 2.0
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Access current best practices, documentation, and guidance on any topic, including libraries, web standards, security, accessibility, performance, and more. Results are normalized for 2026.
    Elastic 2.0
  • 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