How do I connect an AI agent to Jockey Delivery — Same-Day Local & Nationwide AI Commerce?

Use the MCP streamable HTTP endpoint https://delivery.jockeyvc.com/mcp.

Catalog › io.github.jennipro-engineering/jockeyvc-gmc-engine

Is Jockey Delivery — Same-Day Local & Nationwide AI Commerce reliable?

Reliable (measured) Yes. Faceabot measured Jockey Delivery — Same-Day Local & Nationwide AI Commerce 11 times: 100% of checks succeeded, including the last 11 in a row (last check 2026-10-19 11:15 UTC). It also does the job: its real read-only task worked 11 of 11 times.

Last check: 2026-10-19 11:15 UTC · answered in 6600 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Search live store shelves, verify delivery windows, and run instant AI agent checkouts.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "jockeyvc-gmc-engine": {
      "url": "https://delivery.jockeyvc.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.jennipro-engineering/jockeyvc-gmc-engine"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked get_delivery_info to do a small read-only task 11 time(s): 11 returned a real result, the last 11 in a row. Last result: ok in 3379 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 11:15 UTC	✅ ok	✅ done	6600 ms
2026-10-18 18:40 UTC	✅ ok	✅ done	7020 ms
2026-10-18 06:20 UTC	✅ ok	✅ done	6408 ms
2026-10-17 22:30 UTC	✅ ok	✅ done	6143 ms
2026-10-17 14:15 UTC	✅ ok	✅ done	7072 ms
2026-10-17 06:15 UTC	✅ ok	✅ done	7611 ms
2026-10-16 22:30 UTC	✅ ok	✅ done	6144 ms
2026-10-16 15:21 UTC	✅ ok	✅ done	8005 ms
2026-10-16 08:20 UTC	✅ ok	✅ done	5998 ms
2026-10-16 01:25 UTC	✅ ok	✅ done	6538 ms
2026-10-15 18:31 UTC	✅ ok	✅ done	7055 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

JENNi Shop — Local & Nationwide AI Commerce Reliable (measured) · 100% over 11 checks Does the job (tested) · 11/11

Search live local & nationwide retail stock, check prices, and run zero-click AI agent checkouts.

MCP endpoint : https://shop.jennipro.com/mcp · website · measurements and details

Publisher of Jockey Delivery — Same-Day Local & Nationwide AI Commerce?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.jennipro-engineering/jockeyvc-gmc-engine.svg)](https://faceabot.com/tools/io.github.jennipro-engineering/jockeyvc-gmc-engine)

Data in JSON: /api/catalog?id=io.github.jennipro-engineering/jockeyvc-gmc-engine · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms