Fetch

Web Content Acquisition and Conversion for Efficient Use of LLM

What is Fetch?

Fetch is a Model Context Protocol (MCP) server for web content fetch and transformation that allows Large Language Models (LLMs) to retrieve and process content from web pages by converting HTML to Markdown for easy consumption.

How do I use Fetch?

To use Fetch, you can install it via node.js or pip, and then use the commands as described in the documentation:python -m mcp_server_fetch or using uvx Run the server. You can run the server by calling fetch tool and pass in a URL to get the content.

What are the key features of Fetch?

• Gets the URL of a web page and extracts its content in Markdown format.
• Configuration options are supported, such as the maximum length of the content and the starting index for extraction.
• Customizable user agent and robots.txt compliance settings.

What are the scenarios for Fetch?

1. Enable LLMs to access and process web data for a variety of applications.
2. Converting online articles into a simplified format for analysis.
3. Assist with data retrieval tasks for research and data aggregation workflows.

Fetch FAQ?

• Can Fetch handle all types of web content?

Fetch is capable of extracting content from most web pages, but results may vary depending on site structure and limitations.

• Is Fetch easy to integrate with other tools?

Yes! Fetch is designed to integrate seamlessly with LLMs and can be customized for specific needs.

• Are there any restrictions on the use of Fetch?

Fetch does not enforce strict usage restrictions, but your implementation may need to adhere to the guidelines of the site you are visiting.