All servers · Code & repositories

Vynix

in.vynix/vynix-mcp · v0.1.4

Measured by MCP Station

Description written by the publisher, not verified

Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

Connect

claude mcp add --transport http vynix-mcp https://mcp.vynix.in/mcp

{
  "mcpServers": {
    "vynix-mcp": {
      "url": "https://mcp.vynix.in/mcp"
    }
  }
}

Tools as reported by the server

• 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. Requires AI + diag
• 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.

Repository · Website · JSON · Text for agents · Registry updated 2026-07-28