Agent Ready
Score any website out of 100 for how well AI agents can find, understand and use it.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
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": {
"agent-ready": {
"url": "https://agentready.sneeze.it/mcp"
}
}
}遠端端點
https://agentready.sneeze.it/mcpstreamable-http它能做什麼
工具清單
工具（4）
🟢scan_website(url, fresh)
Score any public website out of 100 for how well AI agents can use it: reach it, understand it, act on it (book, quote, buy), complete the task, act for a signed-in customer, trust its facts, and find the right location. Returns the score, a score per area, the most important finding in each area, and a link to the full report with every finding and the ordered fix plan. Takes 5 to 20 seconds.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The website to scan, for example acme.com or https://www.acme.com/"
},
"fresh": {
"type": "boolean",
"description": "Rescan even if the site was scanned in the last 30 minutes. Use after the owner changed something."
}
},
"required": [
"url"
]
}🟢get_report(report)
Fetch a report that was already run, by its report link or id, without scanning again.
輸入結構描述
{
"type": "object",
"properties": {
"report": {
"type": "string",
"description": "A report URL (https://agentready.sneeze.it/report/...) or report id."
}
},
"required": [
"report"
]
}🟢explain_check(check)
Explain what one check measures, what it is worth and where to read how to fix it. Pass the check name as it appears in a report, for example "WebMCP tools an agent can call".
輸入結構描述
{
"type": "object",
"properties": {
"check": {
"type": "string",
"description": "The check name, or a few words from it."
}
},
"required": [
"check"
]
}🟢get_scoring_method
The scored areas, their weights and every check, so a score can be explained.
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據