Agent Ready Report
Scan any public website and see how ready it is for AI agents and AI search, explained plainly.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"agent-ready-report": {
"url": "https://scan.agenticplug.ai/mcp"
}
}
}Remote endpoints
https://scan.agenticplug.ai/mcpstreamable-httpWhat it can do
Tool inventory
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.
Input 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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢explain_check(check_id)
Explain one agent-readiness check in depth: what it is, why it matters for AI agents and AI search, exactly how the scanner tests it, what counts as a pass, and the official sources. Call with no check_id to list every check.
Input Schema
{
"type": "object",
"properties": {
"check_id": {
"description": "The check's id, as shown in a scan report (e.g. \"dnsAid\", \"aiCrawlerAccess\"). Omit to list all checks.",
"type": "string",
"enum": [
"robotsTxt",
"sitemap",
"linkHeaders",
"dnsAid",
"markdownNegotiation",
"robotsTxtAiRules",
"contentSignals",
"apiCatalog",
"oauthDiscovery",
"oauthProtectedResource",
"authMd",
"mcpServerCard",
"a2aAgentCard",
"agentSkills",
"webMcp",
"ard",
"webBotAuth",
"x402",
"mpp",
"ucp",
"acp",
"ap2",
"https",
"aiCrawlerAccess",
"indexable",
"contentWithoutJs",
"headingStructure",
"titleAndDescription",
"canonical",
"structuredData",
"entitySchema",
"pageTypeSchema",
"language",
"responseTime",
"llmsTxt"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
Evidence