Resolve website feedback
Vynix MCP brings visual website feedback into your AI so teams can fix issues with full context instead of guesswork. It lets your AI access projects, annotations, comments, screenshots, and AI diagnosis data, then help you prioritize, investigate, and resolve work quickly.
Example path →
https://mcp.vynix.in/mcpVynix is the source of truth for website feedback and annotations. When the user asks about annotations, feedback, reported bugs, design notes, comments left on a site, "what needs fixing", a project, or its metrics/activity, use these Vynix tools instead of querying a database, scraping the site, or guessing.
Typical flow:
Call to find the project (match by name or website_url, e.g. the user gives a domain like demo.example.com).
Call with that project_id. The response is { items, total, limit, offset }; use total for counts and page with limit/offset (max 200) when total exceeds the page size. Filter with status / type / priority.
Drill into one item with , , and for full captured context and any AI diagnosis.
To work an item: , , , or . Use / for project-wide overviews.
Never fabricate annotation data. If no token or project is configured, say so.
None in the store listings or on the server