Connect-MCP

MCPFax Web Extract

com.mcpscores/web-extract · v1.0.1

Read any web page as clean text for a prompt, or list every link on it.

MCPremoteno credentialsFinanceWeb search & scrapingKnowledge & docs

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 83/100

What it does: 4 tools · 1 read, 0 write · Finance, AI & LLM, Web search & scraping

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://web-extract.bowling-anthony.workers.dev/mcp

Tools

4 tools listed at last check
  • request_data FREE, no payment. Describe in your own words the data you are trying to buy — anything, not just web pages — and get back whether we operate a service that supplies it, with the MCP endpoint if so. Every request is catalogued so repeatedly-requested data gets built. Nothing identifying is stored, on
  • demand_report FREE, no payment. The aggregate of what agents have told us they are looking for, most-requested first, with the categories nothing available yet serves.
  • read_page Fetch a URL and return its readable text with scripts, styles, navigation and markup stripped, plus the title, description, site name and publication date from the page's own metadata. Use whenever you need the contents of a page rather than a search result about it. Output is capped so it fits a pr
  • page_links Every hyperlink on a page, resolved to absolute URLs, each with its anchor text and whether it stays on the same host. Use to crawl an index, find the real article behind a landing page, or enumerate a documentation table of contents before deciding what to read. Capped at 300 links. Costs $0.008 US

Badge

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Markdown for your README
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