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Route unfamiliar URLs for AI agents before visiting them safely.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "PREFLIGHT — URL Routing for AI Agents" MCP server from askskill: Run: claude mcp add --transport http 'io-github-gsterlingpress-preflight' 'https://preflight-api-production-01a2.up.railway.app/mcp'
Given this URL, decide whether an AI agent should use HTTP, a browser, a machine endpoint, or avoid it: https://example.com
Returns the appropriate access method and whether the URL should be avoided.
I need an agent to read an unfamiliar webpage. First decide which access path to use and explain why: https://unknown-site.test/page
Outputs a recommended route such as HTTP or browser, with a brief reason.
Before the agent visits this link, determine whether it should be avoided instead of accessed: https://unfamiliar-url.test
Provides a recommendation to avoid or proceed, and indicates possible access channels.
Developers or researchers can use it before an AI agent handles an unfamiliar URL to decide between HTTP, a browser, or a machine endpoint instead of visiting blindly.
When automation tasks need to open unknown links, it can serve as a pre-check layer to choose an access method or skip questionable targets.
Teams building agentic systems can use it to route or avoid targets before access, reducing the risk of directly visiting unfamiliar URLs.
It helps decide, before an AI agent visits an unfamiliar URL, whether to use HTTP, a browser, a machine endpoint, or avoid it entirely.
It is suitable for scenarios where AI agents need to access external links, especially when the link source is unfamiliar and the access method should be chosen first.
The provided information does not specify installation steps, runtime requirements, or keys; for details, see the source repository.
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