PREFLIGHT — URL Routing for AI Agents
Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.
我該用這個嗎
品質與安全性
B
發現項目（1）
- LOWTool 'preflight_feedback' description lacks action verb在 preflight_feedback 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~325Token（工具定義）
~870 B典型回應大小
極小的注意力影響（128k 上下文的 0.25%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"preflight": {
"url": "https://preflight-api-production-01a2.up.railway.app/mcp"
}
}
}遠端端點
https://preflight-api-production-01a2.up.railway.app/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢preflight_check(url)
Before fetching, crawling, scraping, opening, or browser-rendering an unfamiliar http/https URL, call this with the ACTUAL destination URL. Returns the best first route: HTTP, BROWSER, MACHINE_ENDPOINT, or AVOID, plus access/JS/size/cost hints. Do not substitute example.com when a real task URL is available.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "Actual absolute http/https destination URL from the current task. Use before the first fetch or browser request."
}
},
"required": [
"url"
],
"additionalProperties": false
}⚪preflight_feedback(url, route, outcome, latencyMs)
After following a PREFLIGHT recommendation, report whether the chosen route worked so PREFLIGHT can improve future recommendations.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"type": "string",
"format": "uri"
},
"route": {
"type": "string",
"enum": [
"HTTP",
"BROWSER",
"MACHINE_ENDPOINT",
"AVOID"
]
},
"outcome": {
"type": "string",
"enum": [
"success",
"failure"
]
},
"latencyMs": {
"type": "number",
"minimum": 0,
"maximum": 300000
}
},
"required": [
"url",
"route",
"outcome"
],
"additionalProperties": false
}社群
證據
近期觀測
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具
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