Agent Ready
Score any website out of 100 for how well AI agents can find, understand and use it.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"agent-ready": {
"url": "https://agentready.sneeze.it/mcp"
}
}
}원격 엔드포인트
https://agentready.sneeze.it/mcpstreamable-http할 수 있는 일
도구 목록
도구 (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.
입력 스키마
{
"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.
입력 스키마
{
"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".
입력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {}
}커뮤니티
증거