Question 1

What is Better Fetch?

Accepted Answer

Better Fetch is a Model Context Protocol (MCP) server designed to fetch, clean, and convert web content into structured markdown files for AI consumption, analysis, and other applications.

Question 2

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools, like Better Fetch.

Question 3

How does Better Fetch clean web content?

Accepted Answer

Better Fetch removes ads, navigation elements, scripts, and other noise from the extracted content, focusing on the main content areas of a webpage.

Question 4

Can I control how deep Better Fetch crawls a website?

Accepted Answer

Yes, you can configure the maximum crawl depth to control how many levels of linked pages Better Fetch will process.

Question 5

Can I limit the number of pages Better Fetch processes?

Accepted Answer

Yes, you can set a maximum page limit to prevent excessive crawling and ensure efficient resource utilization.

Question 6

Does Better Fetch support single-page extraction?

Accepted Answer

Yes, Better Fetch offers a single-page extraction mode for scenarios where only a single page's content is needed.

Question 7

Can I filter URLs based on patterns?

Accepted Answer

Yes, you can use include and exclude patterns based on regular expressions to target specific URLs or sections of a website.

Question 8

What output format does Better Fetch generate?

Accepted Answer

Better Fetch generates clean, well-structured markdown files with preserved code blocks, links, and metadata.

Question 9

What are some use cases for Better Fetch?

Accepted Answer

Better Fetch can be used for documentation processing, content analysis & research, and AI training & context preparation.

Question 10

How does Better Fetch integrate with UBOS?

Accepted Answer

Better Fetch can be integrated with UBOS, a full-stack AI Agent Development Platform, to enrich AI Agent knowledge, automate data collection, and improve AI Agent accuracy.

Question 11

Where can I find the Better Fetch documentation?

Accepted Answer

You can find documentation and usage examples in the project's README file and Wiki.

Question 12

Is Better Fetch free to use?

Accepted Answer

Please refer to the project's license (MIT License) for details on usage and distribution.

Question 13

How can I contribute to Better Fetch?

Accepted Answer

You can contribute by forking the repository, creating a feature branch, making changes, and opening a pull request.

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