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Scan prompt injection and safely fetch webpages for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "TrustFetch" MCP server from askskill: Run: claude mcp add --transport http 'io-github-vohlsyr-trustfetch' 'https://trustfetch.duckdns.org/mcp/'
First scan this webpage for prompt-injection risk, then safely fetch the main content for AI consumption: https://example.com/article
Returns a risk scan result and provides safely fetched webpage content or readable text.
I need an AI agent to read an external forum post. Use TrustFetch to check injection risk first, then extract the key points from the post body: https://example.com/forum-post
Provides a safety status first, then outputs a safely extracted body and key-point summary.
Please update the webpage-reading workflow to scan for prompt injection first and then fetch page content for downstream AI analysis.
Produces a safer webpage-reading workflow description with scanning and fetching steps.
Developers can use it to scan for prompt-injection risk before an AI agent reads external webpages, then safely fetch the content to reduce risk from untrusted sources.
When researchers collect information from public webpages, they can scan for injection first and then pass safer page content to AI for summarization or analysis.
In a multi-tool agent workflow, it fits as a pre-read step for detecting untrusted content issues and safely fetching webpages.
No documentation provided
Check the source repo for usage and examples.
It is an MCP tool that scans untrusted webpages for prompt injection and safely fetches webpage content for AI agents.
It is suitable when AI agents need to read external webpages, forums, or other untrusted content, with a safety check before reading.
The provided information does not include installation steps, runtime requirements, or key configuration. Please see the source repository.
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