Agent Ready
Score any website out of 100 for how well AI agents can find, understand and use it.
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"agent-ready": {
"url": "https://agentready.sneeze.it/mcp"
}
}
}远程端点
https://agentready.sneeze.it/mcpstreamable-http它能做什么
工具清单
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.
输入模式
{
"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.
输入模式
{
"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".
输入模式
{
"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.
输入模式
{
"type": "object",
"properties": {}
}社区
证据