ARC: Agent Checkout Reachability
Check if AI agents can reach checkout and buy from your store.
Tests whether personal shopping agents can access product pages, understand them, and complete checkout on e-commerce sites. Provides readiness scores, identifies checkout barriers, and suggests fixes. Includes monitoring for Shopify and other platforms.
Try asking Muse: "Check if Muse can complete a purchase on my Shopify store and tell me what's blocking checkout."
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Source: Found in the official MCP Registry (ai.arcreport/mcp) · First listed October 29, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 12 min ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://www.arcreport.ai/api/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Also use it in ChatGPT or Claude
ARC: Agent Checkout Reachability is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
Add it to ChatGPT
- 1
Open ChatGPT settings
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
- 2
Turn on developer mode
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
- 3
Create the connector
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
- 4
Use it in a chat
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
Add it to Claude
- 1
Open Claude settings
In Claude, open Settings, then Connectors.
- 2
Add a custom connector
Choose Add custom connector, give it a name, and paste the link.
- 3
Connect and use it
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://www.arcreport.ai/api/mcpWhat people ask Muse to do
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 1031ms. Worked in 100% of checks over 30 days.
Screening · October 29, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 19
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 not checked yet when ARC has no saved check. Free, no login, no new scan, and no fetch of the store. A missing field saysfind_storesFind stores where a saved check shows an AI agent can reach checkout. Filter by platform, protocol, or category. With no filters, returns the most recently checked of those stores and labels the result default: no filters given. A missing result is not counted against a store. Noreport_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 addresses, and private hosts are rejected. The report stays private until 3 independent contributors with a day-old key, or enougget_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 ARC; claims never change measured scores.google_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 cannot be checked from outside. Not Google approval or certification.product_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. A missing result is not a zero.can_agent_checkout[Requires sign-in] Call when you need a saved checkout-link check for any public store URL, not only Index brands. Saved HTTP checkout check for a public homepage or product URL: catalog, product, checkout link, UCP profile, blocks, and one fix. No model call, payment, or browsercheck_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, whether an agent can answer a shopper's questions from the page, and personal shopping agents trying to add to cart or reachget_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, understand it, and reach checkout, plus the wall, concrete next steps, a directional score, a per-agent breakdown, and screenshotslist_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 to reopen a check.ask_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: Muse-style, Instinct-style, Grok Bot-style, OpenAI dots-style, and OpenClaw-style. This tool uses benchmark personas, including the Grget_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 and/or the brand, category, store URL, and competitors that were recommended instead. Uses the check's evidence when an id bulk_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/internal ones. GUIDED FLOW: first ask the user for the URLs (paste a list or a CSV), then the frequency (daily/weekly/monthly, list_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. Includes cadence, status, last score, next run, and the monitor id.monitor_summary[Requires sign-in] Overview of whether monitored stores are still buyable by personal agents: latest score, trend, status, next run, and recent regression alerts.update_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 explicitly asks to run now. Use the monitor id from list_monitors.Recent checks
Link
https://www.arcreport.ai/api/mcpQuestions about ARC: Agent Checkout Reachability in Muse
How do I connect ARC: Agent Checkout Reachability to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use ARC: Agent Checkout Reachability to help me. It is a free service with an MCP server at https://www.arcreport.ai/api/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is ARC: Agent Checkout Reachability working right now?
At the last check (October 29, 2026, 11:45 UTC) the endpoint was working, answering in 1031ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is ARC: Agent Checkout Reachability safe to connect to Muse?
It was screened on October 29, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can ARC: Agent Checkout Reachability do in Muse?
It exposes 19 tools, including check_store, find_stores, report_checkout, get_store_hub. For example, you could ask Muse: "Check if Muse can complete a purchase on my Shopify store and tell me what's blocking checkout."
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