I’m a bit confused because I don’t clearly understand the value this tool adds. Could you help me understand it?
From what I can see, if the content I want to enrich is static, the web fetch tool seems sufficient. Is this tool capable of extracting information from dynamic websites or sites behind login walls, or is it essentially the same as a web fetch tool that only works with static pages?
I see many of you asking about the differences between using this versus web_fetch. The main differences are the quality of the data and token usage.
1. Standard web_fetch tools usually dump raw HTML into the context (including navbars, scripts, and footer noise). This wastes a huge amount of tokens and distracts the model. toMCP runs the page through a readability parser and converts it to clean markdown before sending it to the AI.
2. Adding a website as an MCP Resource pins it as a permanent, read-only context, making it ideal for keeping documentation constantly available. This differs from the web_fetch tool, which is an on-demand action the AI only triggers when it decides to, meaning the data isn't permanently attached to your project.