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Erodenn/fetch-guard

Erodenn/fetch-guard

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

](https://pypi.org/project/fetch-guard/) [ ](https://github.com/Erodenn/fetch-guard/actions/workflows/ci.yml) [ [](LICENSE)

An MCP server and CLI tool that fetches URLs and returns clean, LLM-ready markdown. A purpose-built extraction pipeline sanitizes HTML, pulls structured metadata, detects prompt injection attempts, and handles the edge cases that break naive fetchers: bot blocks, paywalls, login walls, non-HTML content types, and pages that require JavaScript to render.

The core problem is straightforward: LLMs need web content, but raw HTML is noisy and potentially hostile. Fetched pages can contain hidden text, invisible Unicode, off-screen elements, and outright prompt injection attempts embedded in the content itself. This pipeline strips all of that before the content reaches the model.

Three layers handle the injection defense specifically:

Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.

Category: Developer Tools

Don't lose this

Three weeks from now, you'll want Erodenn/fetch-guard again. Will you remember where to find it?

Save it to your library and the next time you need Erodenn/fetch-guard, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. Erodenn/fetch-guard. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from awesome:punkpeye/awesome-mcp-servers

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