Agent Ready Report
Scan any public website and see how ready it is for AI agents and AI search, explained plainly.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"agent-ready-report": {
"url": "https://scan.agenticplug.ai/mcp"
}
}
}Remote-Endpunkte
https://scan.agenticplug.ai/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (2)
🟢scan_website(url, sells_online, detail)
Scan a public website and report how ready it is for AI agents and AI search: which checks pass, which are missing, and what each check is, in plain English and technically. Covers 35 checks in three groups: agent readiness (robots.txt and AI crawler rules, sitemap, Link headers, DNS-AID, markdown for agents, Content Signals, API catalog, OAuth discovery, auth.md, MCP server card, A2A agent card, agent skills, WebMCP, ARD), agentic commerce (x402, MPP, UCP, ACP, AP2; scored only for sites that sell online), and AI search foundations (HTTPS, AI crawler access, indexability, content without JavaScript, heading structure, title and description, canonical URL, structured data, business identity markup, language, response time). Use when someone asks whether their website is ready for AI agents, AI search, ChatGPT, Claude, Perplexity, Muse or agentic commerce. A scan takes 5 to 30 seconds.
Eingabe-Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"minLength": 3,
"maxLength": 2048,
"description": "The website to scan, e.g. \"example.com\" or \"https://www.example.com\"."
},
"sells_online": {
"default": "auto",
"description": "Whether the site sells online. \"auto\" detects it from the homepage; use \"yes\" or \"no\" when the owner has said.",
"type": "string",
"enum": [
"auto",
"yes",
"no"
]
},
"detail": {
"default": "standard",
"description": "\"standard\": findings with plain-English and technical explanations. \"full\": adds pass criteria, request-by-request evidence and source links.",
"type": "string",
"enum": [
"standard",
"full"
]
}
},
"required": [
"url"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢explain_check(check_id)
Explain one agent-readiness check in depth: what it is, why it matters for AI agents and AI search, exactly how the scanner tests it, what counts as a pass, and the official sources. Call with no check_id to list every check.
Eingabe-Schema
{
"type": "object",
"properties": {
"check_id": {
"description": "The check's id, as shown in a scan report (e.g. \"dnsAid\", \"aiCrawlerAccess\"). Omit to list all checks.",
"type": "string",
"enum": [
"robotsTxt",
"sitemap",
"linkHeaders",
"dnsAid",
"markdownNegotiation",
"robotsTxtAiRules",
"contentSignals",
"apiCatalog",
"oauthDiscovery",
"oauthProtectedResource",
"authMd",
"mcpServerCard",
"a2aAgentCard",
"agentSkills",
"webMcp",
"ard",
"webBotAuth",
"x402",
"mpp",
"ucp",
"acp",
"ap2",
"https",
"aiCrawlerAccess",
"indexable",
"contentWithoutJs",
"headingStructure",
"titleAndDescription",
"canonical",
"structuredData",
"entitySchema",
"pageTypeSchema",
"language",
"responseTime",
"llmsTxt"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
Nachweis