Vynix
in.vynix/vynix-mcpGive AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
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Get before/after evidence when observed tools, schemas, authentication access, availability or the endpoint changes.
Inspect evidence and set up a watch Share public evidence report
Score: 100/100
Handshake verified by our own probe.
why this score
Tools · 17
List the Vynix projects you own.
List a project’s annotations, optionally filtered by status, type, or priority. Start here with status "open" to see what needs fixing.
Fetch one annotation with its full captured context: page, target element (selector, XPath, styles), surrounding DOM, and runtime diagnostics (console + network).
Read the discussion thread on an annotation.
Read the latest stored AI diagnosis for an annotation (root causes, confidence, suggested fix, and likely source files). Returns null when none has been generated yet; run diagnose_annotation to creat…
Return the region screenshots attached to an annotation as viewable images, so you can see exactly what the reporter pointed at.
List the tracker (GitHub) issues opened from an annotation, with each issue’s live state. Set refresh to reconcile against GitHub (open/closed + any linked pull request).
List every tracker issue across a project, with an open/closed/agent summary.
Render a ready-to-paste coding prompt for an annotation, formatted for a target assistant. A deterministic template (no AI spend); for a deeper analysis use diagnose_annotation.
Overview of your projects: KPI counts, status breakdown, a daily time series, and recent activity.
List a project’s team members, including role and status.
Recent activity feed for a project (status changes, comments, issues, members).
Update an annotation’s status, e.g. to mark it in_progress or completed.
Add a comment to an annotation’s thread, e.g. to record what you changed. Notifies the team.
Run the AI Diagnosis Engine on an annotation: it analyses the captured page, element, DOM, and runtime errors to produce ranked root causes, a confidence score, a suggested fix, and the likely source …
Create a GitHub issue from an annotation. Uses the project’s configured repo and assignee unless overridden. Embeds the generated AI prompt in the issue body.
Mint a read-only public review link for a project, so a stakeholder can review its annotations without an account. Reporter emails are hidden on shared views.
Prompts · 1
A guided workflow to take one annotation from report to fix using the captured context and the AI diagnosis.
How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"vynix": {
"url": "https://mcp.vynix.in/mcp",
"transport": "streamable-http"
}
}
}