Vynix

Last 30 days

Uptime

100%

Response time

585 ms typical, 702 ms slowest 5%

Last check

4 h ago

Next check

in 2 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "vynix": {
      "type": "http",
      "url": "https://mcp.vynix.in/mcp"
    }
  }
}

17 tools

• list_projects

  List the Vynix projects you own.

• list_annotations

  List a project’s annotations, optionally filtered by status, type, or priority. Start here with status "open" to see what needs fixing.

• get_annotation

  Fetch one annotation with its full captured context: page, target element (selector, XPath, styles), surrounding DOM, and runtime diagnostics (console + network).

• list_comments

  Read the discussion thread on an annotation.

• get_annotation_analysis

  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 create one.

• get_annotation_screenshots

  Return the region screenshots attached to an annotation as viewable images, so you can see exactly what the reporter pointed at.

• list_annotation_issues

  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_project_issues

  List every tracker issue across a project, with an open/closed/agent summary.

• generate_prompt

  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.

• get_metrics

  Overview of your projects: KPI counts, status breakdown, a daily time series, and recent activity.

• list_members

  List a project’s team members, including role and status.

• get_activity

  Recent activity feed for a project (status changes, comments, issues, members).

• update_annotation_status

  Update an annotation’s status, e.g. to mark it in_progress or completed.

• add_comment

  Add a comment to an annotation’s thread, e.g. to record what you changed. Notifies the team.

• diagnose_annotation

  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 files. Calls an AI provider (uses tokens / may cost money) and stores the result

• create_github_issue

  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.

• create_share_link

  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.

Security scan

• No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks