What are reliable alternatives to Evolize?

Measured by Faceabot as working: MeSquared Visibility.

How do I connect an AI agent to Evolize?

Use the MCP streamable HTTP endpoint https://evolize.com/api/mcp.

Catalog › com.evolize/accessibility-scanner

Is Evolize reliable?

Flaky Partly. Faceabot measured Evolize 11 times and only 91% of checks succeeded. Plan a fallback. It answers, but its real task has not worked yet (0/10 real results): see "Does it actually do the job?" below.

Last check: 2026-10-16 14:45 UTC · answered in 5764 ms · remote (no install)

Proven alternatives that work right now

MeSquared Visibility Reliable (measured) · 100%
Public-site SEO/AEO readiness scans with evidence scores, issues, and clear measurement scope. · https://mesquared-mcp-server.vercel.app/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Instable. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Accessibility scans with evidence, public reports, and fresh checks after fixes.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "accessibility-scanner": {
      "url": "https://evolize.com/api/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.evolize/accessibility-scanner"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Fails real tasks — Faceabot asked get_public_report to do a small read-only task 10 time(s): 0 returned a real result. Last result: timeout (no answer within 8 s) in 9999 ms.

Sample input: {"url":"https://example.com"}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-16 14:45 UTC	❌ gone		5764 ms
2026-10-16 07:46 UTC	✅ ok	❌ timeout	7143 ms
2026-10-16 00:51 UTC	✅ ok	❌ timeout	7057 ms
2026-10-15 17:56 UTC	✅ ok	❌ timeout	7874 ms
2026-10-15 11:11 UTC	✅ ok	❌ timeout	5654 ms
2026-10-15 04:35 UTC	✅ ok	❌ timeout	3407 ms
2026-10-14 22:05 UTC	✅ ok	❌ timeout	8165 ms
2026-10-14 15:35 UTC	✅ ok	❌ timeout	7288 ms
2026-10-14 09:05 UTC	✅ ok	❌ timeout	3092 ms
2026-10-14 02:16 UTC	✅ ok	❌ timeout	5280 ms
2026-10-13 20:01 UTC	✅ ok	❌ timeout	8306 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Evolize →

Publisher of Evolize?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.evolize/accessibility-scanner.svg)](https://faceabot.com/tools/com.evolize/accessibility-scanner)

Data in JSON: /api/catalog?id=com.evolize/accessibility-scanner · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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