Vynix is a powerful tool designed to bridge the gap between visual website feedback and actionable context for AI coding agents. It transforms simple point-and-click feedback on live websites into structured data that AI agents can immediately understand and act upon. This includes precise element identification, DOM structure, console logs, and network requests, all delivered through a native Model Context Protocol (MCP) server.

• Effortless Feedback Capture: Point at any element or drag to select a region on your live site. Vynix highlights the target and captures its details automatically.
• Structured Context: Instead of vague descriptions, Vynix provides exact CSS selectors, XPath, DOM snippets, computed styles, viewport information, console errors, and failed network requests.
• AI Agent Integration: Supports multiple AI agents like Claude, CodeCursor, GitHub Copilot, Windsurf, and Gemini. Feedback can be delivered as a clean Markdown report or live via MCP.
• Zero Runtime Dependencies: The Vynix widget is lightweight (under 16KB gzipped) and integrates seamlessly into any stack without affecting performance.
• Multiple Installation Options: Easily install via a script tag or a browser extension.
• AI Diagnosis: Vynix can diagnose issues by analyzing the captured page, element, DOM, and runtime errors, providing ranked root causes, confidence scores, and suggested fixes.
• Enhanced Privacy: Captures only necessary metadata, strips query strings, and offers options to disable diagnostics entirely.
• Seamless Workflow: Consolidate multiple annotations into a single batch for export to Markdown, AI prompts, or JSON.
• Flexible Export Formats: Choose between human-readable Markdown reports, imperative AI prompts, or structured JSON.
• Native MCP Server: Enables AI agents to read, clarify, and resolve annotations live without copy-pasting, improving efficiency.