Empower your AI agents with the full context behind every website issue.

The Vynix MCP server bridges the gap between visual website feedback and AI coding assistants like ChatGPT, Claude, Cursor, VS Code, and Codex. It allows these agents to understand and act upon detailed annotations, run diagnostics, update issue statuses, and even create GitHub issues, all with complete context.

• Connect your AI agent: Seamlessly integrate with popular AI tools through hosted OAuth or a local NPX server. Access is revocable and clearly distinguished between read and write actions.
• Ask your agent what needs fixing: Start with real, open feedback. The agent can list projects and annotations, providing precise details instead of relying on vague descriptions.
• Full context, not just a screenshot: Every annotation includes the exact element, DOM, runtime evidence, and discussion history, enabling your agent to understand the issue accurately. It also provides region screenshots, console errors, and failed network requests.
• Diagnose the root cause: Request a diagnosis and receive ranked root causes, a confidence score, and identification of the most likely files to modify.
• Act and close the loop: Update annotation status, add comments, open GitHub issues with pre-filled prompts, or generate shareable review links. All write actions are clearly flagged for your confirmation.

Vynix MCP offers 17 tools covering the entire feedback loop: discover, understand, and act. It supports read, write, and external-action tools, ensuring transparency and control over every AI-driven task.