Webfetch FAQs

Question 1

What kind of configurations can I set with Webfetch?

Accepted Answer

Webfetch offers extensive configuration via a simple YAML file, allowing you to define domain-scoped headers, timeouts, retry logic, proxies, output formats (raw, markdown, trafilatura, JSON), CSS selector extraction, bot-block detection, and even prompt-injection sanitization.

Question 2

How does Webfetch help bypass bot-blocks and paywalls?

Accepted Answer

Webfetch features intelligent bot-block detection and can automatically retry requests using a Chrome User-Agent if blocked. This, combined with support for custom headers and per-domain proxies, significantly improves success rates when accessing sites protected by systems like Cloudflare or Akamai.

Question 3

Why should I use Webfetch instead of my AI assistant's built-in web fetch?

Accepted Answer

Built-in web fetch tools often lack custom header support, causing them to be blocked by bot protection systems or unable to authenticate against APIs. Webfetch is a drop-in replacement that overcomes these limitations, automatically applying the correct headers, retry strategies, and output formats.

Question 4

What is Webfetch and how does it improve AI assistant capabilities?

Accepted Answer

Webfetch is a local Python MCP server that upgrades your AI assistant's default web fetching tool. It provides a fully configurable HTTP client, enabling advanced features like custom headers, retries, proxies, and bot-block detection to ensure reliable and authenticated web access for your AI.

Question 5

Is Webfetch compatible with my AI assistant?

Accepted Answer

Yes, Webfetch is designed to be compatible with any MCP-enabled AI assistant, including Claude Code, Cursor, Continue, and Zed. It integrates seamlessly by registering the server in your assistant's settings.

Webfetch

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