Connect-MCP

Vynix

in.vynix/vynix-mcp · v0.1.4

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

MCPremotelocal · npmno credentialsDeveloper tools

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 17 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 73/100

What it does: 17 tools · 12 read, 5 write

Test call list_projects: failed — tool error: Not authenticated. Set VYNIX_API_TOKEN, or VYNIX_API_EMAIL and VYNIX_API_PASSWORD. (1,152 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: +5
  • Safe test call: 0
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.vynix.in/mcp
Package
registry:   npm
identifier: @usevynix/mcp-server
version:    0.1.4
transport:  stdio

Tools

17 tools listed at last check
  • 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.

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