ai.arcreportPublished by arcreport.aiOfficial publisherv2.2.0Updated Oct 27, 2026
Free, no sign-in MCP: can AI agents reach checkout at a store? Try: Use ARC to check allbirds.com
The publisher's own server: ARC (arcreport.ai): can an agent reach checkout?
ARC is a hosted MCP server that tells an assistant whether AI agents can reach checkout at an online store, using dated saved checks.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.arcreport%2Fmcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"arc-agent-checkout-reachability": {
"type": "http",
"url": "https://www.arcreport.ai/api/mcp"
}
}
}ARC is the free, neutral record of which online stores AI agents can actually reach checkout at, with dated evidence.
Website: https://www.arcreport.ai
This repo holds ARC's public MCP connector metadata and setup instructions. ARC is a hosted service, so there is nothing to install or run.
Before your agent tries a store, ask ARC whether agents can reach checkout there:
Real response (trimmed, 14 Oct 2026):
reachable_checkout is based on ARC's last saved check. It does not mean an agent completed checkout. Check last_checked and stale before relying on it. Contact: [email protected] (ARC).
Advisory only, not a guarantee. Missing data or known:false is not a no.
Both use the Streamable HTTP transport and are listed in the official MCP Registry. Reading saved checks (check_store, find_stores) and reporting a checkout attempt (report_checkout) need no sign-in.
Settings → Connectors → Add custom connector → URL https://www.arcreport.ai/api/mcp.
Settings → Apps & Connectors → Advanced → Developer mode → Create connector → URL https://www.arcreport.ai/api/mcp.
~/.cursor/mcp.json).vscode/mcp.json)cline_mcp_settings.json)Swap in https://www.arcreport.ai/api/ask to use the Ask connector.
server.json: registry entry for ai.arcreport/mcp (copies of both entries in server.mcp.json and server.ask.json)glama.json: Glama directory metadataEvery result is dated and labelled by source: agent-reported, ARC-tested up to payment, or a verified order. A missing result never counts against a store.
Repo contents: MIT. ARC data: CC-BY-4.0.
Source: README.md at commit 629c197
Check 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 says "not recorded" and is not a zero. Results are advisory. ARC stops before payment.
domainrequiredFind 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. No login and no new scan. Results are advisory. ARC stops before payment.
limitcategoryplatformprotocolReport 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 enough reputation, agree within 14 days. A blocked outcome also waits for ARC's free HTTP recheck. Same as POST /api/outcomes.
blockerrequiredtimestamprequiredagent_namerequiredagent_familyrequiredstore_domainrequiredfurthest_steprequiredcontributor_keystore_error_text[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.
hostrequired[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.
hostrequiredFree 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.
urlhost[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 browser scan. Uses ARC's last check (cached up to 24 hours). A missing result is unknown, not a no. A checkout link means reach checkout, not a completed order. Results are advisory. ARC stops before payment.
urlrequired[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 reach checkout. Returns a check id — poll get_readiness_result (about 30–60 seconds). This does not ask what agents think of the brand; use ask_agents_about_brand for that.
urlrequiredtask[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 screenshots. Calling this again with the same id redisplays the result and does not start a new check. Never re-run check_agent_readiness just to see the screenshots again.
idrequired[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.
Takes no parameters.
[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 Grok Bot-style persona; these are not live consumer-product sessions. It is not the real Grok read-back on a scan and it is not the agent-rails HTTP check. What Grok tells shoppers on a scan is a real model call via API, checked against the store's pages, not the consumer Grok app. All five cart attempts, Grok included, are ARC browser cart tests. Returns, per persona: mentioned, recommended, which competitors were recommended instead, sentiment, and short quotes, plus next steps. Limited to 8 runs per workspace per day and 12 per network. Free workspaces also share a site-wide daily cap so unpaid runs cannot drain the model budget.
brandrequiredcategoryrequiredstore_urlrequiredcompetitors[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 is given. Does not start a new check.
brandscan_idcategorymentionedstore_urlrecommendedcompetitors_recommended[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, default weekly). Every plan runs the core panel of personal shopping agents — no picking needed. Call once without confirmed=true to preview the exact setup and scan-credit estimate, read that summary to the user, and only after the user explicitly says yes call again with confirmed=true to create the monitors. Each scheduled run uses one scan credit. Every run emails who reached the cart, who stopped or started, the stuck step, and the fix. Weekly is what the plans include; daily only fits when the plan's scan allowance covers it.
urlsrequireddepthconfirmedfrequency[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.
Takes no parameters.
[Requires sign-in] Overview of whether monitored stores are still buyable by personal agents: latest score, trend, status, next run, and recent regression alerts.
Takes no parameters.
[Requires sign-in] Change a monitor's cadence (daily/weekly/monthly) or label. Use the monitor id from list_monitors.
idrequiredlabelfrequency[Requires sign-in] Pause a monitor so it stops running on schedule (its history is kept). Use the monitor id from list_monitors.
idrequired[Requires sign-in] Resume a paused monitor.
idrequired[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.
idrequired100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
curl "https://www.arcreport.ai/api/precheck?url=https://allbirds.com"{"host":"allbirds.com","known":true,"reachable_checkout":true, "rails":[{"name":"UCP","status":"valid"},{"name":"ACP","status":"not_found"}, {"name":"MCP","status":"yes"},{"name":"Checkout WebMCP","status":"detected"}], "blockers":[],"confidence":"high","last_checked":"2026-10-13T09:47:13.000Z", "stale":true,"source":"ARC (arcreport.ai)","licence":"CC BY 4.0"}claude mcp add --transport http arc https://www.arcreport.ai/api/mcp{ "mcpServers": { "arc": { "url": "https://www.arcreport.ai/api/mcp" } } }{ "servers": { "arc": { "type": "http", "url": "https://www.arcreport.ai/api/mcp" } } }{ "mcpServers": { "arc": { "type": "streamableHttp", "url": "https://www.arcreport.ai/api/mcp" } } }