How do I connect an AI agent to Autopia?

Use the MCP streamable HTTP endpoint https://autopia-mcp.onrender.com/mcp.

Catalog › io.github.MaydayTrey/autopia

Is Autopia reliable?

Reliable (measured) Yes. Faceabot measured Autopia 25 times: 100% of checks succeeded, including the last 25 in a row (last check 2026-10-19 14:15 UTC). It also does the job: its real read-only task worked 21 of 21 times.

Last check: 2026-10-19 14:15 UTC · answered in 7076 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

Verified, reproduced behavior of public HTTP APIs: spec gaps, errors, pagination, auth.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.3.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "autopia": {
      "url": "https://autopia-mcp.onrender.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.MaydayTrey/autopia"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked list_tools to do a small read-only task 21 time(s): 21 returned a real result, the last 21 in a row. Last result: ok in 6822 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 14:15 UTC	✅ ok	✅ done	7076 ms
2026-10-18 22:40 UTC	✅ ok	✅ done	5956 ms
2026-10-18 08:20 UTC	✅ ok	✅ done	6747 ms
2026-10-18 00:30 UTC	✅ ok	✅ done	6673 ms
2026-10-17 16:20 UTC	✅ ok	✅ done	6744 ms
2026-10-17 08:15 UTC	✅ ok	✅ done	3913 ms
2026-10-17 00:15 UTC	✅ ok	✅ done	7282 ms
2026-10-16 17:05 UTC	✅ ok	✅ done	6232 ms
2026-10-16 10:01 UTC	✅ ok	✅ done	7847 ms
2026-10-16 03:06 UTC	✅ ok	✅ done	6079 ms
2026-10-15 20:05 UTC	✅ ok	✅ done	5268 ms
2026-10-15 13:16 UTC	✅ ok	✅ done	4277 ms
2026-10-15 06:35 UTC	✅ ok	✅ done	4086 ms
2026-10-15 00:00 UTC	✅ ok	✅ done	5277 ms
2026-10-14 17:35 UTC	✅ ok	✅ done	9430 ms
2026-10-14 11:05 UTC	✅ ok	✅ done	5591 ms
2026-10-14 04:31 UTC	✅ ok	✅ done	7070 ms
2026-10-13 21:46 UTC	✅ ok	✅ done	8413 ms
2026-10-13 15:41 UTC	✅ ok	✅ done	7958 ms
2026-10-13 09:31 UTC	✅ ok	✅ done	8271 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 Autopia →

Publisher of Autopia?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.MaydayTrey/autopia.svg)](https://faceabot.com/tools/io.github.MaydayTrey/autopia)

Data in JSON: /api/catalog?id=io.github.MaydayTrey/autopia · 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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