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Web2md

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MCP Server for Web2MD โ€” convert URLs to Markdown from Claude Desktop, Cursor, etc.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "web2md": {
      "command": "npx",
      "args": [
        "-y",
        "web2md"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Documentation Overview

web2md-core

Turn messy HTML into clean, LLM-ready Markdown.

This is the extraction and conversion engine behind Web2MD. It is a pure library โ€” give it an HTML string, get Markdown back. No network calls, no API key, no account. Nothing in this package talks to a server.

Terminal
npm install web2md-core

Why convert at all

Feeding raw HTML to a language model wastes most of your context window on markup, navigation, and ads. Converting first cuts that down and gives the model a document it can actually follow.

The library reports both numbers so you can see the difference:

server.ts
import { convertToMarkdown } from 'web2md-core'

const result = convertToMarkdown(html, { url: 'https://example.com/post' })

console.log(result.markdown)
console.log(result.metadata.originalTokenCount, 'โ†’', result.metadata.tokenCount)
// e.g. 417 โ†’ 281

convertToMarkdown returns null when it cannot find a main content block โ€” check for that rather than assuming a result.

What it does

  • Finds the actual article. Strips navigation, sidebars, ads, cookie banners, and footers, keeping the content a reader came for.
  • Preserves structure. Headings, lists, tables, and fenced code blocks survive the round trip โ€” that structure is what lets a model answer questions about one specific section.
  • Reports tokens. Estimated counts for both the original HTML and the cleaned Markdown, plus helpers to split or trim for a target context window.
  • Runs anywhere. Uses linkedom for parsing, so it works in Node without a browser.

API

convertToMarkdown(html, options?)

The main entry point. Note the signature takes two arguments โ€” the URL goes inside options, not as a positional parameter:

ts
convertToMarkdown(html, { url: 'https://example.com/post' })
OptionDefaultMeaning
urlโ€”Source URL. Used to resolve relative links and fill metadata.url.
includeLinksfalseKeep <a> as Markdown links. Off by default because link URLs are often the bulk of the tokens on navigation-heavy pages.
includeImagesfalseKeep images. Off by default for the same reason.
includeMetafalsePrepend a metadata block (title, source, timestamp).
customRuleโ€”A CustomRule for site-specific extraction.
detectCodeLanguagefalseTry to infer the language of fenced code blocks.

includeLinks and includeImages default to off. That is deliberate โ€” the primary use case is feeding an LLM, where both are usually noise. Turn them on when you are archiving rather than summarising.

Other exports

ts
quickConvert(html, url?)        // same result, but with links, images and
                                // metadata turned ON โ€” the "archive it" preset
extractContent(html, url?)      // main content element, before conversion
htmlToMarkdown(html, options?)  // low-level conversion, no extraction
countTokens(text)               // token estimate
splitByTokens(md, limit)        // chunk for RAG ingestion
optimizeForContextWindow(md, model)
htmlLooksLikeLoginWall(html)    // detect login walls so you can fail loudly
MODEL_CONTEXT_LIMITS            // context sizes for common models

Markdown โ†’ sanitized HTML (via DOMPurify), for previewing output:

ts
renderMarkdownSync(md)
renderMarkdownFull(md)          // async; includes syntax highlighting
renderMarkdownWithFormulas(md)  // KaTeX math

getPageHTML() and getSelectionHTML() read document directly and therefore only work in a browser. They throw in Node โ€” that boundary is intentional.

Site-specific extraction

Generic extraction handles most pages. When a site needs special treatment, pass a rule:

ts
convertToMarkdown(html, {
  url: 'https://example.com/thread',
  customRule: {
    name: 'Example forum',
    domain: 'example.com',
    contentSelector: '.thread-body',
    removeSelectors: ['.signature', '.ad-slot'],
  },
})

Scope

This package covers extraction and conversion. It does not include Web2MD's browser extension, hosted API, or account system โ€” those stay in the product.

Contributions to extraction quality are especially welcome: if a site converts badly, an issue with the URL and what went wrong is genuinely useful.

License

MIT

Read the full README โ†’View source on GitHub โ†’

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Frequently Asked Questions about Web2md

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "web2md": { "command": "npx", "args": ["-y", "web2md"] } }

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging ยท 27/100How this signal is calculated โ–พ
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Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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