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384,252 tools. Last updated 2026-08-03 13:14

"Assistance with Debugging Frontend Issues Using JavaScript Code" matching MCP tools:

  • Scan source code with Semgrep to find security vulnerabilities, bugs, and anti-patterns. Supports multiple languages including Python, JavaScript, Java, Go, C, C++, Ruby, and more.
    MIT No Attribution
  • Reviews frontend/UI code for wasteful re-renders, accessibility flaws, and questionable design, then returns categorized issues and fixes.
    MIT
  • Crawls frontend HTML and JavaScript to discover API endpoints, then probes each to map authentication and response behavior without requiring source code.
    MIT

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  • Scan frontend code for critical violations that block deployments: hardcoded addresses, outdated hooks, dangerous configs, and security issues. Audit to fix before deployment.
    MIT
  • Expands TypeScript macros and @derive decorators to show generated code with diagnostics for debugging and understanding transformations.
    MIT
  • Map a generated code location (line and column) back to the original source using source maps, enabling debugging of bundled or transpiled code like TypeScript, Babel, webpack, or esbuild.
    Apache 2.0
  • Convert Figma designs into frontend code that matches your tech stack and style variables. Automatically detects and applies project configurations.
    Mozilla Public 2.0
  • Scans Python projects for known vulnerabilities using bandit (code issues) and pip-audit (dependencies). Supports severity levels, output formats, and automatic fixes.
    Apache 2.0
  • Retrieve raw Lighthouse audit data for a specific audit key from the latest website snapshot to debug performance issues like render-blocking resources or unused JavaScript.
    MIT
  • Lint JavaScript, TypeScript, JSX, and TSX code using Biome to identify syntax errors, style issues, and potential bugs.
    MIT
  • Generate working verification code for Self protocol components including frontend QR, backend verification, and smart contracts in TypeScript, JavaScript, or Solidity.
    MIT
  • Automates UI review by capturing screenshots, running accessibility, performance, and code audits, then delivering data and expert methodology for identifying issues and implementing fixes.
    MIT