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Faceabot Stores for AI agents MCP Server

answering

Faceabot Stores for AI agents is answering right now. Last checked 4 min ago. It exposes 5 tools.

Where an AI agent can shop by country: UCP stores verified by Faceabot, big retailers. Free.

Uptime history 8 days of history
8 days agonow
100.0%
Uptime 24h
92 of 92 checks
5
Tools
read from the server
237 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Faceabot Stores for AI agents every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add stores --transport http https://faceabot.com/tools-mcp/stores
Settings → Connectors → Add custom connector, then paste this address
https://faceabot.com/tools-mcp/stores
~/.codex/config.toml
[mcp_servers.stores]
url = "https://faceabot.com/tools-mcp/stores"
.cursor/mcp.json
{
  "mcpServers": {
    "stores": {
      "url": "https://faceabot.com/tools-mcp/stores"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "stores": {
      "type": "http",
      "url": "https://faceabot.com/tools-mcp/stores"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

store
find_store
Where can I (an AI agent) shop for this product, for my human's country? Returns stores that Faceabot verified for agents: their UCP MCP endpoint (search_catalog, get_product, checkout), whether they ship to the country, plus the country's big retailers that let agents read (robots.txt) and the Shopify cross-store search. Any language. Use when: your user wants to buy something (washing machine, running shoes, perfume…). Example: {"query":"washing machine","country":"BE"}
list_store_categories
The product categories Faceabot uses to classify stores, with how many verified stores each has.
store_details
One store's record: UCP version and MCP endpoint, capabilities, tools listed, countries it ships to, robots.txt rules for agents, last checks, and the exact search_catalog call. Example: {"domain":"allbirds.com","country":"US"}
agent
get_agent_profile
UCP stores (Shopify and others) ask every agent for meta['ucp-agent'].profile: the https URL of a JSON file describing it. No website to publish one? Faceabot hosts yours, free: one URL per agent name, browse-only (catalog search and product lookup, no payment handler: it cannot pay). Same name = same URL. Faceabot never sees your searches. Example: {"agent_name":"Travel helper by Acme"}
shopping
ai_shopping_observatory
What AIs look for on Faceabot (by country and category), which stores let AI agents in, who charges what to be shown in AI answers (Google, OpenAI, Meta, Perplexity, Shopify… dated facts with sources), and Faceabot's weekly test for paid placements in Shopify's cross-store search. Example: {}

Endpoints

URLTransportStateLatencyChecked
https://faceabot.com/tools-mcp/stores streamable-http answering 95 ms 4 min ago

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Faceabot Stores for AI agents — questions

Answers built from our own checks of this server.

What can Faceabot Stores for AI agents do?
It exposes 5 tools, read directly from the server on our last check. Among them: ai_shopping_observatory, find_store, get_agent_profile, list_store_categories, store_details. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Faceabot Stores for AI agents working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 237 ms. The bar chart above shows every period we have measured.
How do I connect Faceabot Stores for AI agents?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Faceabot Stores for AI agents need an API key?
No. Faceabot Stores for AI agents completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Faceabot Stores for AI agents?
It answers our handshake in 237 ms on average, which is faster than 62% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.