Docs Fetch FAQs

Question 1

How does Docs Fetch work?

Accepted Answer

Docs Fetch crawls a website starting from a given URL, extracts the main content from each page, analyzes links to related pages, and follows those links up to a specified depth. It uses a dual-strategy approach with axios and Puppeteer for optimal extraction.

Question 2

What is the maximum exploration depth allowed?

Accepted Answer

The maximum exploration depth for Docs Fetch is 5. This allows you to control how far the crawler will follow links within a website.

Question 3

What kind of content does Docs Fetch extract?

Accepted Answer

Docs Fetch extracts the main textual content from web pages, removing distractions like navigation menus, ads, and irrelevant elements. It also identifies and extracts relevant links for recursive exploration.

Question 4

What is Docs Fetch?

Accepted Answer

Docs Fetch is a tool that recursively fetches and extracts clean, readable content from web pages, designed specifically for use with Large Language Models (LLMs). It allows LLMs to autonomously explore and learn from web content.

Question 5

How can I use Docs Fetch with my LLM?

Accepted Answer

Docs Fetch exposes an MCP (Model Context Protocol) server with a `fetch_doc_content` tool. You can configure your LLM client to use this server to fetch web content and integrate it directly into your AI workflows. The extracted content can be used for training, knowledge retrieval, or other LLM applications.

Docs Fetch

Docs Fetch

Características Principales

Casos de Uso

Características Principales

Casos de Uso