ai.arcreport/mcp
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Publisher-provided title
ARC: agent checkout reachability
Publisher-provided description
Free, no sign-in MCP: can AI agents reach checkout at a store? Try: Use ARC to check allbirds.com
Summary by lookupd
Checks whether AI agents can reach checkout at a store, runs readiness scans, and manages scheduled monitors for store URLs.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http mcp https://www.arcreport.ai/api/mcp
Codex, remote (streamable-http)
codex mcp add mcp --url https://www.arcreport.ai/api/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://www.arcreport.ai/api/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (19 tools)
Publisher-provided text
check_storeCheck if an AI agent can reach checkout on a store before trying. Call this with a store domain, such as allbirds.com. Returns the saved checkout evidence, or nfind_storesFind stores where a saved check shows an AI agent can reach checkout. Filter by platform, protocol, category, or min_grade (optional, default none). With no filreport_checkoutReport how far one agent got at one store. Free, no login. Omit contributor_key and ARC issues one. Emails, phones, street addresses, card numbers, IP addressesget_store_hub[Requires sign-in] Look up a free ARC store card by host. Includes saved measurements and brand_claim ownership metadata. Brand statements are not measured by Agoogle_checkout_readiness[Requires sign-in] Read saved public Google agentic checkout readiness checks for a store. Free; no new scan or paid calls. Merchant Center feed eligibility canproduct_data_checkFree latest saved product data and return/shipping policy check from the store's pages and structured data. Reads history only; no store fetch or model call. Acan_agent_checkout[Requires sign-in] Call when you need a saved checkout-link check for any public store URL, not only Index brands. Use it for 'what stops an agent at <store> chcheck_agent_readiness[Requires sign-in] Check whether personal AI agents can reach a product URL, understand it, and reach checkout. Runs ARC's readiness check: crawler access, whetget_readiness_result[Requires sign-in] Get a readiness check by id. While running, reports progress. When complete, reports whether personal agents could reach the page, understandlist_readiness_checks[Requires sign-in] List this workspace's recent readiness checks (newest first) — each store, its score, status, and id. Use an id with get_readiness_result toask_agents_about_brand[Requires sign-in] Ask benchmark personal-agent personas what they think of a brand and whether they would recommend it for a category. Personas A to E are ARCget_fixes[Requires sign-in] Concrete next steps to get recommended by personal agents and to become reachable, understandable, and buyable. Pass a readiness check id andbulk_create_monitors[Requires sign-in] Set up scheduled monitoring for one or more store URLs (the 'set up monitoring' flow). Validates each URL and rejects invalid/private/internalist_monitors[Requires sign-in] List the workspace's monitors — each store re-checked on a schedule for whether personal agents can still reach it and its checkout. Includesmonitor_summary[Requires sign-in] Overview of whether monitored stores are still buyable by personal agents: latest score, trend, status, next run, and recent regression alertupdate_monitor[Requires sign-in] Change a monitor's cadence (daily/weekly/monthly) or label. Use the monitor id from list_monitors.pause_monitor[Requires sign-in] Pause a monitor so it stops running on schedule (its history is kept). Use the monitor id from list_monitors.resume_monitor[Requires sign-in] Resume a paused monitor.run_monitor_now[Requires sign-in] Run a monitor's scan immediately (off-schedule) to establish or refresh its baseline. Consumes one scan credit — only call when the user expl
Details
- Version: 2.2.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 602 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/abab7575/arc-mcp
- Website: https://www.arcreport.ai/mcp
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