MCP.Market

Web2MD MCP server

by kanavsingla28·io.github.kanavsingla28/web2md-mcp·v0.1.0
No reviews yet

Turn any web page into clean Markdown, text or token-bounded RAG chunks (via RapidAPI).

B83/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B83/100

full report

Adoption
Growing

0 stars38 downloads/wk

Reviews

Write one

Nobody has reviewed Web2MD yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Web2MD tools (4)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • chunk_url

    Fetch a web page and split its main content into heading-aware, token-bounded chunks for RAG/embeddings. Each chunk has its heading path and token count.

  • convert_html

    Convert raw HTML you already have into clean Markdown (or plain text). Pass url to resolve relative links.

  • page_metadata

    Get a web page's metadata (title, author, published date, description, site name, language, canonical URL, image, word count, reading time) without the full content.

  • read_url

    Fetch a web page and return its main content as clean Markdown (or plain text), with boilerplate, nav and ads removed. Includes title and token count. Use for reading articles, docs and blog posts.

Public scan report

scanner v0.1.10 · 2026-10-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan5 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 13 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Web2MD compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 68% of 4,460 AI and agents servers
Tools
4
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
38
more than 30% of 1,538 AI and agents servers with a package

What its tools let an agent do: 4 read

Install Web2MD in Claude Code, Cursor or VS Code

Runs npx -y web2md-rag-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add web2md-mcp -- npx -y web2md-rag-mcp
Add to Cursor

What the publisher says

From the Web2MD repository's README, as published. We do not edit it. Read it on GitHub

Web2MD MCP server

An MCP server that turns any web page into clean Markdown, plain text or token-bounded RAG chunks, using the Web2MD API on RapidAPI.

What it does

  • read_url: fetch a web page and return its main content as Markdown or plain text, without nav, ads or boilerplate.
  • chunk_url: fetch a web page and split it into heading-aware chunks sized in tokens, for RAG and embeddings.
  • convert_html: convert raw HTML you already have into Markdown or plain text.
  • page_metadata: get a page's title, author, published date, description and similar fields without the full content.

Setup in 3 steps

  1. Subscribe to Web2MD on RapidAPI. The BASIC plan is free and includes 500 requests per month.
  2. Copy your X-RapidAPI-Key from the Endpoints tab of the listing.
  3. Add the server to your client.

Requires Node.js 22 or newer.

Claude Code:

claude mcp add web2md -e RAPIDAPI_KEY=your-key -- npx -y web2md-rag-mcp

Claude Desktop (claudedesktopconfig.json) and Cursor (~/.cursor/mcp.json) use the same JSON:

{
  "mcpServers": {
    "web2md": {
      "command": "npx",
      "args": ["-y", "web2md-rag-mcp"],
      "env": { "RAPIDAPI_KEY": "your-key" }
    }
  }
}

Windsurf: put the same block in ~/.codeium/windsurf/mcp_config.json.

Tools

Limits and plans

  • RapidAPI rate limit: 1,000 requests per hour.
  • Pages up to 5 MB.
  • robots.txt is respected.
  • JavaScript-heavy pages may return no_content. Rendering support is planned.

Errors

Tool errors look like Web2MD error [code]: message. Input-validation failures (a bad URL, out-of-range numbers) come from the MCP SDK as MCP error -32602: Input validation error ... instead.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Web2MD: common questions

Is Web2MD MCP server safe?
Mostly: it is graded B (83/100). Read the Web2MD safety report
How do I install Web2MD?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Web2MD need an API key?
Yes. The registry entry asks for RAPIDAPI_KEY.
Is Web2MD maintained?
The last commit was 20 days ago (2026-10-15). The latest release is v0.1.0.
What can I use instead of Web2MD?
Servers from other publishers that do the same job: DataSinking MCP server, Robin: AI-Powered Dark Web OSINT MCP server and PDF MCP server. Compare all Web2MD alternatives.
How does Web2MD compare with other AI and agents MCP servers?
safety score 83/100 (higher than 68% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Web2MD

Same job from other publishers: the closest match first, then the best rated.

All Web2MD alternatives →
  • DataSinking
    Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
    A
  • Robin: AI-Powered Dark Web OSINT
    Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
    A
  • PDF
    Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.
    A
  • Charlotte
    Renders web pages into structured, agent-readable representations using headless Chromium.
    A
  • agent-device
    Open source device layer for AI agents: control mobile, web, TV, and desktop apps over MCP
    A