How do I connect an AI agent to AI PM Lab?

Use the MCP streamable HTTP endpoint https://aipmlab.io/api/mcp.

Catalog › io.aipmlab/ai-pm-lab

Is AI PM Lab reliable?

Reliable (measured) Yes. Faceabot measured AI PM Lab 30 times: 100% of checks succeeded, including the last 30 in a row (last check 2026-10-19 16:10 UTC). It also does the job: its real read-only task worked 30 of 30 times.

Last check: 2026-10-19 16:10 UTC · answered in 7718 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

Learn how AI products work: lessons, model cost comparisons, real experiments, PM guides.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "ai-pm-lab": {
      "url": "https://aipmlab.io/api/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.aipmlab/ai-pm-lab"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked list_challenges to do a small read-only task 30 time(s): 30 returned a real result, the last 30 in a row. Last result: ok in 5112 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 16:10 UTC	✅ ok	✅ done	7718 ms
2026-10-19 01:25 UTC	✅ ok	✅ done	6248 ms
2026-10-18 10:00 UTC	✅ ok	✅ done	6168 ms
2026-10-18 01:50 UTC	✅ ok	✅ done	5722 ms
2026-10-17 17:40 UTC	✅ ok	✅ done	7149 ms
2026-10-17 09:30 UTC	✅ ok	✅ done	8308 ms
2026-10-17 01:35 UTC	✅ ok	✅ done	6294 ms
2026-10-16 18:20 UTC	✅ ok	✅ done	8839 ms
2026-10-16 11:16 UTC	✅ ok	✅ done	7774 ms
2026-10-16 04:20 UTC	✅ ok	✅ done	5647 ms
2026-10-15 21:25 UTC	✅ ok	✅ done	7023 ms
2026-10-15 14:36 UTC	✅ ok	✅ done	4375 ms
2026-10-15 07:55 UTC	✅ ok	✅ done	3681 ms
2026-10-15 01:20 UTC	✅ ok	✅ done	3991 ms
2026-10-14 18:55 UTC	✅ ok	✅ done	6400 ms
2026-10-14 12:25 UTC	✅ ok	✅ done	4284 ms
2026-10-14 06:01 UTC	✅ ok	✅ done	8957 ms
2026-10-13 23:11 UTC	✅ ok	✅ done	9631 ms
2026-10-13 17:05 UTC	✅ ok	✅ done	9171 ms
2026-10-13 11:01 UTC	✅ ok	✅ done	8566 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.

Find tools similar to AI PM Lab →

Publisher of AI PM Lab?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.aipmlab/ai-pm-lab.svg)](https://faceabot.com/tools/io.aipmlab/ai-pm-lab)

Data in JSON: /api/catalog?id=io.aipmlab/ai-pm-lab · 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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