# Vynix

> Vynix, an MCP server by vynix.in, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

- Canonical: https://www.anchorterminal.com/tools/vynix-mcp
- Markdown: https://www.anchorterminal.com/tools/vynix-mcp.md (~1,400 tokens)
- Slim: https://www.anchorterminal.com/tools/vynix-mcp.min.md (~1,330 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/tools/vynix-mcp.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-05

# Vynix

> Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/

- Kind: MCP server, by vynix.in (https://www.vynix.in/mcp)
- Listed because: It's published in the registry under vynix.in, a namespace the registry only gives to whoever proves they control that domain.
- What the official MCP registry says: Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

## Facts

- MCP registry: `in.vynix/vynix-mcp` 0.1.4
- Endpoint: https://mcp.vynix.in/mcp (streamable HTTP)
- Package: npm `@usevynix/mcp-server` (stdio)
- Source: https://github.com/UseVynix/vynix-mcp
- Website: https://www.vynix.in/mcp
- npm downloads a week: 44
- GitHub stars: 13
- Registry entry updated: 2026-07-28

## Tools

- Tools it lists (17, about 5,130 tokens of context, `tools/list` without credentials over MCP 2025-11-25, checked 2026-10-04 22:25 UTC):
  - `list_projects` (read-only): List the Vynix projects you own.
  - `list_annotations` (read-only): List a project’s annotations, optionally filtered by status, type, or priority. Start here with status "open" to see what needs fixing.
  - `get_annotation` (read-only): Fetch one annotation with its full captured context: page, target element (selector, XPath, styles), surrounding DOM, and runtime diagnostics (console +…
  - `list_comments` (read-only): Read the discussion thread on an annotation.
  - `get_annotation_analysis` (read-only): Read the latest stored AI diagnosis for an annotation (root causes, confidence, suggested fix, and likely source files). Returns null when none has been…
  - `get_annotation_screenshots` (read-only): Return the region screenshots attached to an annotation as viewable images, so you can see exactly what the reporter pointed at.
  - `list_annotation_issues` (read-only): 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…
  - `list_project_issues` (read-only): List every tracker issue across a project, with an open/closed/agent summary.
  - `generate_prompt` (read-only): 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…
  - `get_metrics` (read-only): Overview of your projects: KPI counts, status breakdown, a daily time series, and recent activity.
  - `list_members` (read-only): List a project’s team members, including role and status.
  - `get_activity` (read-only): Recent activity feed for a project (status changes, comments, issues, members).
  - `update_annotation_status` (writes): Update an annotation’s status, e.g. to mark it in_progress or completed.
  - `add_comment` (writes): Add a comment to an annotation’s thread, e.g. to record what you changed. Notifies the team.
  - `diagnose_annotation` (writes): 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…
  - `create_github_issue` (writes): 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` (writes): 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.
- How its tools read to an agent (0 errors, 12 warnings, 0 notes, about 5,130 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):
  - warn TC11 add_comment: 1 parameter without a description: annotation_id
  - warn TC11 create_share_link: 1 parameter without a description: project_id
  - warn TC11 diagnose_annotation: 1 parameter without a description: annotation_id
  - warn TC11 get_activity: its one parameter, project_id, has no description
  - warn TC11 get_annotation_analysis: its one parameter, annotation_id, has no description
  - warn TC11 get_annotation_screenshots: its one parameter, annotation_id, has no description
  - warn TC11 list_annotation_issues: 1 parameter without a description: annotation_id
  - warn TC11 list_annotations: 4 parameters without a description: offset, priority, status, type
  - warn TC11 list_comments: its one parameter, annotation_id, has no description
  - warn TC11 list_members: its one parameter, project_id, has no description
  - warn TC11 list_project_issues: its one parameter, project_id, has no description
  - warn TC11 update_annotation_status: none of its 2 parameters has a description

- JSON: https://www.anchorterminal.com/api/v1/tools/vynix-mcp.json
- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming