Vynix MCP server

• Registry namein.vynix/vynix-mcpverified in the MCP registry

The registry name sits under vynix.in. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-19
• Tools17
• Server calls itselfvynix
• Server version0.1.4
• Protocol version2025-06-18

On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 1136 ms.

• Whether its tools do the product's job has not been judged yet.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP score70 of 100answers 99 · definitions 88 · context 100 · use 29 · connects 100 · lowered by the warning signs below
• Use13 npm downloads a week13 GitHub stars
• Answered100% of days9 of 9 daily checks
• Median first answer1056 ms
• Space in an agent's context≈ 1,906 tokensthe definitions of all its tools (17), which an agent carries on every turn
• Tool definitionsB · 88 of 100
• Typed results17 of 17 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 12 of 17

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• 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…

• 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.