Snapshot

io.github.VerifuxPublished by GitHub account Verifuxv1.0.4Updated Nov 3, 2026

Free UX and AI-agent readiness snapshot for any website. No sign-up, no API key.

VerifiedSTDIODesktop onlyAI & ML

Overview

Snapshot's local MCP server; no sign-in required; STDIO.

No AI overview yet: these facts come from the registry entry and the server itself.

Installation

In SourceWeft

  1. Open Snapshot in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Verifux snapshot MCP server

[npm] [license: MIT]

Can an AI agent actually use your website? This MCP server gives Claude, Cursor and any other MCP client one tool, run_snapshot, that audits any URL for UX, conversion and AI-agent readiness in a few seconds, and tells you whether the page even declares a surface an agent can act on.

Zero dependencies, no local browser, no API key, no sign-up. It calls the hosted Verifux API, so installing is just npx.

Install

Add it to your MCP client config:

json
{  "mcpServers": {    "verifux": {      "command": "npx",      "args": ["-y", "@verifux/mcp"]    }  }}

Then ask your agent: "run a Verifux snapshot on https://example.com".

What you get

run_snapshot({ url }) returns a plain-text report:

Verifux snapshot for your-store.comBand: Mixed - 13 of 17 automated checks passed0 critical, 2 major, 1 minor
  [MAJOR] Largest Contentful Paint at 3.1s, past the 2.5s threshold  [MINOR] Cumulative Layout Shift of 0.15, content moves under the reader
AI agent surface: none detected

That last line is the one most tools miss. As shopping and research agents become real traffic, a site that declares nothing an agent can call is invisible to them, and never sees why. Verifux is built to measure exactly that, alongside the human-facing UX.

Why it exists

Lighthouse and accessibility scanners tell you about code and compliance. Verifux asks a different question: can a person, and now an AI agent, actually get the job done on this page? The snapshot is the fast, free read. It is deterministic, so the same page scores the same way twice, and it carries no score out of 100 on purpose, because that number belongs to the full audit.

The full audit

This tool is the free snapshot. The full 54-checkpoint audit, across human experience (MX), behavioural design (BX) and AI-agent readiness (AIX), with a written report and a PDF, lives at verifux.app. No account, no subscription.

Notes

  • Point at a different backend with VERIFUX_API_URL (defaults to https://api.verifux.app).
  • The snapshot is email-optional through this client, so there is nothing to sign up for.
  • The hosted engine is closed source. This repository is the MCP client shim only: a small, zero-dependency wrapper that calls the public API.

Links

MIT licensed. Built by Designerama.

Source: README.md at commit ac41b6b

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.4LatestNov 3, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts