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338,153 tools. Last updated 2026-07-30 04:33

"Frontend Development Tool for Detecting Errors" matching MCP tools:

  • Switch between configure, runtime, and frontend modes to access different tool sets and resources for module design, entry management, or custom UI development.
    Apache 2.0
  • Build a UI frontend for Aptos dApps by generating resources from frontend directories. Use this tool for guidance on developing dApp interfaces on the Aptos blockchain.
    Apache 2.0
  • Verify frontend code compliance by scanning for banned design patterns such as purple gradients, glassmorphism, and excessive shadows, returning errors and suggested fixes.
    MIT
  • Search Real User Monitoring events to identify frontend errors, slow page loads, and analyze user sessions using query syntax like @type:error.
    MIT

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  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • World Bank World Development Indicators: curated country-year economy, health, education and more.

  • Check the payment status of a transaction using its payment ID. This tool provides confirmation of payment completion independent of frontend redirects.
    MIT
  • Execute a tool on a running Next.js dev server by specifying its port and tool name. Use it to retrieve errors, routes, build status, or manage caches.
    MIT
  • Explains in plain English why a specific frontend route is showing no data or failing, using evidence from live API probes.
    Apache 2.0
  • Discover available Aptos development resources to identify relevant guidance for blockchain projects. Use this tool to explore options before selecting specific documentation.
    Apache 2.0
  • Find related GraphQL, HTTP, Kafka, and frontend operations across microservices by searching with a business term or endpoint name.
    MIT
  • Retrieve the dependency graph mapping frontend routes to backend API routes. Specify a route to filter or omit for the full graph.
    Apache 2.0
  • Check the health of the AI ensemble/debate pipeline, detecting Anthropic quota errors, Cerebras model errors, timeout events, and shadow mode. Pipeline is advisory only.
    MIT
  • Create a full-stack decentralized application on Aptos blockchain with resources for Move smart contracts, project management, and frontend development.
    Apache 2.0
  • Identify frontend code quality issues including accessibility anti-patterns, CSS problems, component complexity, design inconsistencies, and performance concerns.
    MIT