What are reliable alternatives to V01D by A-to-Mind?

Measured by Faceabot as working: Ask Helena.

How do I connect an AI agent to V01D by A-to-Mind?

Use the MCP streamable HTTP endpoint https://a-to-mind.com/api/mcp.

Catalog › io.github.atomeam/void

Is V01D by A-to-Mind reliable?

Reliable (measured) Yes. Faceabot measured V01D by A-to-Mind 17 times: 100% of checks succeeded, including the last 17 in a row (last check 2026-10-19 10:20 UTC). It also does the job: its real read-only task worked 17 of 17 times.

Last check: 2026-10-19 10:20 UTC · answered in 5890 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

Ask Void anything: answers with sources, plus code review, moon phases and meteor showers.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "void": {
      "url": "https://a-to-mind.com/api/mcp"
    }
  }
}

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

Does it actually do the job?

Does the job (tested) — Faceabot asked meteor_showers to do a small read-only task 17 time(s): 17 returned a real result, the last 17 in a row. Last result: ok in 2416 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Other proven tools for the same job

Ask Helena Flaky · 86%
Official answers about Helena Bioinformatics and its products, with citations to public sources. · https://api.helena.bio/ask/v1/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 10:20 UTC	✅ ok	✅ done	5890 ms
2026-10-18 17:30 UTC	✅ ok	✅ done	7095 ms
2026-10-18 05:45 UTC	✅ ok	✅ done	6535 ms
2026-10-17 21:50 UTC	✅ ok	✅ done	6943 ms
2026-10-17 13:20 UTC	✅ ok	✅ done	6375 ms
2026-10-17 05:40 UTC	✅ ok	✅ done	5485 ms
2026-10-16 21:55 UTC	✅ ok	✅ done	4451 ms
2026-10-16 14:45 UTC	✅ ok	✅ done	7471 ms
2026-10-16 07:45 UTC	✅ ok	✅ done	6427 ms
2026-10-16 00:50 UTC	✅ ok	✅ done	6575 ms
2026-10-15 17:56 UTC	✅ ok	✅ done	7952 ms
2026-10-15 11:11 UTC	✅ ok	✅ done	6396 ms
2026-10-15 04:40 UTC	✅ ok	✅ done	3299 ms
2026-10-14 22:10 UTC	✅ ok	✅ done	4606 ms
2026-10-14 15:40 UTC	✅ ok	✅ done	6372 ms
2026-10-14 09:15 UTC	✅ ok	✅ done	3664 ms
2026-10-14 02:32 UTC	✅ ok	✅ done	9925 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 V01D by A-to-Mind?

Show your measured reliability on your README or website:

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

Data in JSON: /api/catalog?id=io.github.atomeam/void · 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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