How does it help with RAG?

It automates the process of collecting and structuring web data, creating a basic index file that makes it easier to feed website content into RAG models for knowledge retrieval.

How can I use it with Claude?

Website Downloader provides a simple MCP (Message Channel Protocol) interface that can be integrated with Claude through configurations like `claude_desktop_config.json`. This allows Claude to use the tool for downloading and indexing web content on demand.

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Website Downloader MCP Server

Downloads websites and their assets for use with Retrieval-Augmented Generation (RAG) systems.

Local serverstdioPython★ 6

What is the Website Downloader MCP Server?

Downloads websites and their assets for use with Retrieval-Augmented Generation (RAG) systems.

What you get

Simple MCP server for downloading documentation websites and preparing them for RAG indexing.

Downloads complete documentation sites, well big chunks anyway
Maintains link structure and navigation, not really. lol
Downloads and organizes assets (CSS, JS, images), but isn't really AI friendly and it all probably needs some kind of parsing or vectorizing into a db or something
Creates clean index for RAG systems, currently seems to make an index in each folder, not even looked at it
Simple single-purpose MCP interface, yup

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Example prompts to try

“Use Website Downloader to Components.”

Frequently asked questions

The tool outputs a directory containing the website's HTML files, organized assets, and a `rag_index.json` file with metadata about the downloaded site, like URL and page count.