How do I connect an AI agent to web-content-extractor?

Install the npm package @agenson-horrowitz/web-content-extractor-mcp and run it as a local MCP server.

Faceabot

Catalog › io.github.agenson-horrowitz/web-content-extractor

Is web-content-extractor reliable?

Not measured yet web-content-extractor runs locally (installed package), so Faceabot cannot measure it over the network.

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

What it does

Extract and process web content into clean, structured formats optimized for LLMs.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.8 · publisher website

Connect your agent

{
  "mcpServers": {
    "web-content-extractor": {
      "command": "npx",
      "args": [
        "-y",
        "@agenson-horrowitz/web-content-extractor-mcp"
      ]
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.agenson-horrowitz/web-content-extractor"} 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.

More from the same publisher

agent-output-guard Not measured yet

Validate and verify data from other agents before acting on it. Zero LLM costs.

Package npm : @agenson-horrowitz/agent-output-guard-mcp · website · measurements and details

document-parser Not measured yet

Parse and extract structured data from various document formats (PDF, Word, HTML).

Package npm : @agenson-horrowitz/document-parser-mcp · website · measurements and details

structured-data-validator Not measured yet

Validate, transform, and normalize structured data for AI agents.

Package npm : @agenson-horrowitz/structured-data-validator-mcp · website · measurements and details

Publisher of web-content-extractor?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.agenson-horrowitz/web-content-extractor.svg)](https://faceabot.com/tools/io.github.agenson-horrowitz/web-content-extractor)

Data in JSON: /api/catalog?id=io.github.agenson-horrowitz/web-content-extractor · 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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