in.vynix/vynix-mcp

up checked 2026-11-10T14:37:34.612Z

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Publisher-provided title

Vynix

Publisher-provided description

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

Summary by lookupd

Lets agents read visual feedback and bug annotations, run AI diagnosis, open GitHub issues, and update annotation status and comments.

Install

Claude Code, remote (streamable-http)

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

Claude Code, npm package (stdio)

claude mcp add vynix -- npx -y @usevynix/mcp-server

Codex, remote (streamable-http)

codex mcp add vynix --url https://mcp.vynix.in/mcp

Codex, npm package (stdio)

codex mcp add vynix -- npx -y @usevynix/mcp-server

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "vynix": {
      "command": "npx",
      "args": [
        "-y",
        "@usevynix/mcp-server"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (17 tools)

Publisher-provided text

• 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 generat
• 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
• 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 dia
• 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,
• 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.

Details

• Version: 0.1.4
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 1941 ms
• First indexed: 2026-11-01T09:02:44.144Z
• Last seen in registry: 2026-11-01T09:02:44.144Z
• Repository: https://github.com/UseVynix/vynix-mcp
• Website: https://www.vynix.in/mcp

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