MCP server that turns web pages into clean Markdown, keeping tables, code blocks, and images intact. Agents can fetch pages, save docs to your project or a global library, and crawl whole doc sites.
An MCP server that gives AI agents their own tools for turning web pages into clean Markdown. It runs the Pulpie content extraction model locally, so tables, code blocks, links, and images come through intact instead of getting summarized away.
The agent can read a page inline, save it as a .md file, crawl a whole docs section into a folder, and search everything it saved later. Over time the library turns into a local reference collection you can reuse across projects.
I already had a little local UI for Pulpie that I used to pull docs and articles into Markdown, and it works really well. But I was still the one doing the pulling. Most agent fetch tools run pages through a small model that summarizes or trims them, which is not what you want when the agent needs the actual API reference.
So this gives the agent the same thing I was using. It can grab full documentation whenever it needs it and save it somewhere useful, and I don't have to go do it by hand.
Tool What it's for ------ fetchmarkdown Read a page right now. The Markdown comes back inline, cut off at maxchars (40,000 by default). savemarkdown Save one page as a .md file. Returns the path and a heading outline instead of the whole page, so it doesn't eat the agent's context. crawldocs Save a documentation section as a folder of .md files plus an index.md. Up to 500 pages per crawl, 50 by default. listlibrary List saved docs with their source URL and fetch time, optionally filtered by a search term. searchlibrary Search saved docs by what they say and get back the matching sections, each with its heading path,
From the project README.
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