A fast tool to convert any website into LLM-ready markdown data.
I'm building an AI app called Supermemory - https://git.new/memory. Where users can store website content in the app and then query it using AI. One thing I noticed was - when data is structured and predictable (in markdown format), the LLM responses are much better.
There are other solutions available for this - https://r.jina.ai, https://firecrawl.dev, etc. But they are either:
Here's a quote from my friend @nexxeln

So naturally, we fix it ourselves ⚡
To use the API, just make GET a request to https://md.dhr.wtf
Usage example:
$ curl 'https://md.dhr.wtf/?url=https://example.com'
url (string) -> The website URL to convert into markdown.
enableDetailedResponse (boolean: false) -> Toggle for detailed response with full HTML content.
crawlSubpages (boolean: false) -> Crawl and return markdown for up to 10 subpages.
llmFilter (boolean: false) -> Filter out unnecessary information using LLM.
Add Content-Type: text/plain in headers for plain text response.
Add Content-Type: application/json in headers for JSON response.
Under the hood, Markdowner utilises Cloudflare's Browser rendering and Durable objects to spin up browser instances and then convert it to markdown using Turndown.

You can easily self host this project. To use the browser rendering and Durable Objects, you need the Workers paid plan
git clone https://github.com/dhravya/markdowner
npm i
npx wrangler kv:namespace create md_cachenpm run deploySupport me by simply starring this repository! ⭐
$ claude mcp add markdowner \
-- python -m otcore.mcp_server <graph>