What are reliable alternatives to well-002-url-to-markdown?

Measured by Faceabot as working: x402 Markdown Reader, mdapi — HTML to Markdown for AI agents.

How do I connect an AI agent to well-002-url-to-markdown?

Use the MCP streamable HTTP endpoint https://well-002-url-to-markdown.mmelnyk2000.workers.dev/mcp.

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Catalog › dev.workers.mmelnyk2000.well-002-url-to-markdown/url-to-markdown

Is well-002-url-to-markdown reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-16 07:31 UTC · answered in 2118 ms · remote (no install)

Proven alternatives that work right now

x402 Markdown Reader Reliable (measured) · 100%
Turn any public web page into clean Markdown. Pay-per-call via x402: 0.005 USDC on Base. · https://x402-reader.xbtbot.workers.dev/mcp

mdapi — HTML to Markdown for AI agents Reliable (measured) · 100%
Web page or HTML to clean LLM-ready Markdown or JSON. x402 pay-per-call, $0.005, no API key. · https://md.fastdb.in/mcp

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

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

What it does

Public https page to markdown. x402 $0.005 USDC, Base. As is, no warranty.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "url-to-markdown": {
      "url": "https://well-002-url-to-markdown.mmelnyk2000.workers.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"dev.workers.mmelnyk2000.well-002-url-to-markdown/url-to-markdown"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Real task being tested — Faceabot asked url-to-markdown to do a small read-only task 1 time(s): 0 returned a real result. Last result: tool_error (the tool answered with an error for the neutral sample input) in 2225 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 07:31 UTC	❌ http_500		2118 ms
2026-10-16 00:35 UTC	✅ ok	❌ tool_error	5792 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.

Publisher of well-002-url-to-markdown?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/dev.workers.mmelnyk2000.well-002-url-to-markdown/url-to-markdown.svg)](https://faceabot.com/tools/dev.workers.mmelnyk2000.well-002-url-to-markdown/url-to-markdown)

Data in JSON: /api/catalog?id=dev.workers.mmelnyk2000.well-002-url-to-markdown/url-to-markdown · 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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