What are reliable alternatives to ExtractMCP?

Measured by Faceabot as working: Web Page to Markdown (Tanod), read_url, Scrapiq.

How do I connect an AI agent to ExtractMCP?

Install the pypi package mcpproducts-extract and run it as a local MCP server.

Faceabot

‹ Back

Catalog › com.mcpproducts/extract

Is ExtractMCP reliable?

Not measured yet ExtractMCP runs locally (installed package), so Faceabot cannot measure it over the network.

Not checked yet · local package

Proven alternatives that work right now

Web Page to Markdown (Tanod) Reliable (measured) · 100%
Turn any web page URL or HTML into clean Markdown or plain text for an LLM to read. · https://tanod.dev/mcp/html-to-markdown

read_url Reliable (measured) · 100%
One public web page as clean markdown, with title, language and a SHA-256. Obeys robots.txt. · https://mm-read-url.pradooskee.workers.dev/mcp

Scrapiq Reliable (measured) · 100%
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines. · https://scrapiq.io/mcp

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

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

What it does

Turn any URL or HTML into clean markdown, tables, links or JSON for agents

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "extract": {
      "command": "uvx",
      "args": [
        "mcpproducts-extract"
      ]
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.mcpproducts/extract"} on https://faceabot.com/api/mcp.

Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

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

Faceabot measurements

No measurement yet.

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.

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OfficeMCP Not measured yet

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Package pypi : mcpproducts-office · website · measurements and details

Find tools similar to ExtractMCP →

Publisher of ExtractMCP?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.mcpproducts/extract.svg)](https://faceabot.com/tools/com.mcpproducts/extract)

Data in JSON: /api/catalog?id=com.mcpproducts/extract · 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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