What are reliable alternatives to Zhiyong Parcel Tracking?

Measured by Faceabot as working: king-county-permit-status.

How do I connect an AI agent to Zhiyong Parcel Tracking?

Use the MCP streamable HTTP endpoint https://delivery.zhiyong.dev/mcp.

Catalog › dev.zhiyong/uniuni-tracking

Is Zhiyong Parcel Tracking reliable?

Reliable (measured) Yes. Faceabot measured Zhiyong Parcel Tracking 26 times: 100% of checks succeeded, including the last 26 in a row (last check 2026-10-19 13:25 UTC).

Last check: 2026-10-19 13:25 UTC · answered in 7731 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

Track parcel status and scan history; currently supports UniUni only.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.8 · publisher website

Connect your agent

{
  "mcpServers": {
    "uniuni-tracking": {
      "url": "https://delivery.zhiyong.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"dev.zhiyong/uniuni-tracking"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Other proven tools for the same job

king-county-permit-status Reliable (measured) · 100%
Live permit history + status for any King County, WA address, parcel or permit number. Read-only. · https://permits-api.secondlandings.ai/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 13:25 UTC	✅ ok	—	7731 ms
2026-10-18 21:35 UTC	✅ ok	—	5817 ms
2026-10-18 07:50 UTC	✅ ok	—	7226 ms
2026-10-18 00:05 UTC	✅ ok	—	6184 ms
2026-10-17 15:55 UTC	✅ ok	—	8251 ms
2026-10-17 07:55 UTC	✅ ok	—	8500 ms
2026-10-17 00:05 UTC	✅ ok	—	8356 ms
2026-10-16 17:01 UTC	✅ ok	—	8601 ms
2026-10-16 10:01 UTC	✅ ok	—	6126 ms
2026-10-16 03:05 UTC	✅ ok	—	8071 ms
2026-10-15 20:10 UTC	✅ ok	—	7835 ms
2026-10-15 13:25 UTC	✅ ok	—	4179 ms
2026-10-15 06:50 UTC	✅ ok	—	4165 ms
2026-10-15 00:20 UTC	✅ ok	—	3931 ms
2026-10-14 17:55 UTC	✅ ok	—	8797 ms
2026-10-14 11:30 UTC	✅ ok	—	4452 ms
2026-10-14 05:01 UTC	✅ ok	—	9453 ms
2026-10-13 22:16 UTC	✅ ok	—	7719 ms
2026-10-13 16:10 UTC	✅ ok	—	8654 ms
2026-10-13 10:01 UTC	✅ ok	—	9190 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.

Publisher of Zhiyong Parcel Tracking?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/dev.zhiyong/uniuni-tracking.svg)](https://faceabot.com/tools/dev.zhiyong/uniuni-tracking)

Data in JSON: /api/catalog?id=dev.zhiyong/uniuni-tracking · 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