audit
AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.
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": {
"audit": {
"url": "https://www.agentready.market/mcp"
}
}
}Remote-Endpunkte
https://www.agentready.market/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (3)
🟢check_merchant_readiness(host)
Check whether an AI shopping agent can find, understand and BUY on an e-commerce store: AgentReady's deterministic agent-readiness score /100 for a host, with grade, hard-block status (capped = agents are blocked at the door) and agent-protocol adoption (UCP, A2A, ARD). Scores exist for stores whose merchant ran a scan at agentready.market — this tool never triggers a new audit of a third-party site.
Eingabe-Schema
{
"type": "object",
"properties": {
"host": {
"type": "string",
"description": "Store hostname or URL, e.g. shop.example.com"
}
},
"required": [
"host"
]
}🟢get_readiness_report(host)
The latest public agent-readiness report for a scanned store: every check with its status (pass/partial/fail) across access & crawlability, structured data and catalog pillars, plus score, grade and report link. Same visibility as the public web report.
Eingabe-Schema
{
"type": "object",
"properties": {
"host": {
"type": "string",
"description": "Store hostname or URL, e.g. shop.example.com"
}
},
"required": [
"host"
]
}🟢list_agent_ready_stores(vertical, limit)
The Agent-Ready Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better), ranked by agent-readiness score /100. Use it to route a purchase toward a store agents are known to succeed on, or to benchmark a store against its peers. Optionally filter by vertical and cap the number of rows.
Eingabe-Schema
{
"type": "object",
"properties": {
"vertical": {
"type": "string",
"description": "Optional vertical filter, e.g. supplements"
},
"limit": {
"type": "integer",
"description": "Max rows to return (default 10, max 25)"
}
},
"required": []
}Community
Nachweis