# Vynix

- Registry name: `in.vynix/vynix-mcp` · version 0.1.4
- Categories (automatic, keyword rules): Code & repositories, Developer tools
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): prompts, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=in.vynix%2Fvynix-mcp
- Server page: https://mcpstation.net/s/in.vynix--vynix-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://mcp.vynix.in/mcp`

## Tools (as reported by the server, not verified)

- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html