How do I connect an AI agent to MIL — Machine Intelligence Layer?

Use the MCP streamable HTTP endpoint https://www.milquery.com/api/mcp?src=registry.

Catalog › io.github.lordfreez-ship-it/mil

Is MIL — Machine Intelligence Layer reliable?

Reliable (measured) Yes. Faceabot measured MIL — Machine Intelligence Layer 16 times: 100% of checks succeeded, including the last 16 in a row (last check 2026-10-19 14:10 UTC). It also does the job: its real read-only task worked 16 of 16 times.

Last check: 2026-10-19 14:10 UTC · answered in 6701 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

Swedish company data (Bolagsverket, SCB) for AI agents, verified, with history and annual reports

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.4.2 · publisher website

Connect your agent

{
  "mcpServers": {
    "mil": {
      "url": "https://www.milquery.com/api/mcp?src=registry"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.lordfreez-ship-it/mil"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked search_companies to do a small read-only task 16 time(s): 16 returned a real result, the last 16 in a row. Last result: ok in 5509 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 14:10 UTC	✅ ok	✅ done	6701 ms
2026-10-18 22:30 UTC	✅ ok	✅ done	6801 ms
2026-10-18 08:15 UTC	✅ ok	✅ done	6313 ms
2026-10-18 00:25 UTC	✅ ok	✅ done	5942 ms
2026-10-17 16:15 UTC	✅ ok	✅ done	6461 ms
2026-10-17 08:10 UTC	✅ ok	✅ done	5815 ms
2026-10-17 00:10 UTC	✅ ok	✅ done	8319 ms
2026-10-16 17:01 UTC	✅ ok	✅ done	8578 ms
2026-10-16 09:55 UTC	✅ ok	✅ done	9019 ms
2026-10-16 03:01 UTC	✅ ok	✅ done	7084 ms
2026-10-15 20:01 UTC	✅ ok	✅ done	8902 ms
2026-10-15 13:11 UTC	✅ ok	✅ done	4391 ms
2026-10-15 06:30 UTC	✅ ok	✅ done	4333 ms
2026-10-14 23:55 UTC	✅ ok	✅ done	4922 ms
2026-10-14 17:30 UTC	✅ ok	✅ done	9140 ms
2026-10-14 11:00 UTC	✅ ok	✅ done	5534 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 MIL — Machine Intelligence Layer?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.lordfreez-ship-it/mil.svg)](https://faceabot.com/tools/io.github.lordfreez-ship-it/mil)

Data in JSON: /api/catalog?id=io.github.lordfreez-ship-it/mil · 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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