How do I connect an AI agent to Passage Data — cited environmental limits?

Use the MCP streamable HTTP endpoint https://passage-data.com/mcp.

Catalog › io.github.kedu21-beep/passage-data

Is Passage Data — cited environmental limits reliable?

Reliable (measured) Yes. Faceabot measured Passage Data — cited environmental limits 15 times: 100% of checks succeeded, including the last 15 in a row (last check 2026-10-19 12:25 UTC). It answers, but its real task has not worked yet (0/15 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 12:25 UTC · answered in 8757 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

Cited US, Canadian, EU limits (discharge, drinking water, soil, air); species status; DwC archives

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.13.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "passage-data": {
      "url": "https://passage-data.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.kedu21-beep/passage-data"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Fails real tasks — Faceabot asked list_sources to do a small read-only task 15 time(s): 0 returned a real result. Last result: bad_response in 1558 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 12:25 UTC	✅ ok	❌ bad_response	8757 ms
2026-10-18 20:20 UTC	✅ ok	❌ bad_response	5769 ms
2026-10-18 07:10 UTC	✅ ok	❌ bad_response	5611 ms
2026-10-17 23:20 UTC	✅ ok	❌ bad_response	5231 ms
2026-10-17 15:10 UTC	✅ ok	❌ bad_response	5559 ms
2026-10-17 07:05 UTC	✅ ok	❌ bad_response	4638 ms
2026-10-16 23:15 UTC	✅ ok	❌ bad_response	4139 ms
2026-10-16 16:05 UTC	✅ ok	❌ bad_response	7184 ms
2026-10-16 09:05 UTC	✅ ok	❌ bad_response	4398 ms
2026-10-16 02:10 UTC	✅ ok	❌ bad_response	5118 ms
2026-10-15 19:15 UTC	✅ ok	❌ bad_response	6145 ms
2026-10-15 12:31 UTC	✅ ok	❌ bad_response	4051 ms
2026-10-15 05:55 UTC	✅ ok	❌ bad_response	4035 ms
2026-10-14 23:25 UTC	✅ ok	❌ bad_response	2504 ms
2026-10-14 17:00 UTC	✅ ok	❌ bad_response	8047 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 Passage Data — cited environmental limits?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.kedu21-beep/passage-data.svg)](https://faceabot.com/tools/io.github.kedu21-beep/passage-data)

Data in JSON: /api/catalog?id=io.github.kedu21-beep/passage-data · 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

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