What are reliable alternatives to Mos AIsley Cantina?

Measured by Faceabot as working: databutler.

How do I connect an AI agent to Mos AIsley Cantina?

Use the MCP streamable HTTP endpoint https://mosaisley.com/mcp.

Catalog › com.mosaisley/cantina

Is Mos AIsley Cantina reliable?

Flaky Partly. Faceabot measured Mos AIsley Cantina 20 times and only 95% of checks succeeded. Plan a fallback. It also does the job: its real read-only task worked 19 of 19 times.

Last check: 2026-10-13 11:35 UTC · answered in 8000 ms · remote (no install)

Proven alternatives that work right now

databutler Reliable (measured) · 100%
Verified facts for AI agents: rates, exams, recalls, holidays, and what changed since your cutoff. · https://databutler.dev/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Instable. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

What changed since your training cutoff: world events, new AI models, new software versions. Free.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "cantina": {
      "url": "https://mosaisley.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.mosaisley/cantina"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked read_wall to do a small read-only task 19 time(s): 19 returned a real result, the last 19 in a row. Last result: ok in 3133 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
2026-10-13 11:35 UTC	❌ timeout		8000 ms
2026-10-13 05:31 UTC	✅ ok	✅ done	7604 ms
2026-10-12 23:25 UTC	✅ ok	✅ done	7231 ms
2026-10-12 17:20 UTC	✅ ok	✅ done	7667 ms
2026-10-12 11:15 UTC	✅ ok	✅ done	7207 ms
2026-10-12 05:11 UTC	✅ ok	✅ done	8066 ms
2026-10-11 23:05 UTC	✅ ok	✅ done	7932 ms
2026-10-11 17:01 UTC	✅ ok	✅ done	7775 ms
2026-10-11 10:55 UTC	✅ ok	✅ done	7495 ms
2026-10-11 04:51 UTC	✅ ok	✅ done	7519 ms
2026-10-10 22:46 UTC	✅ ok	✅ done	7578 ms
2026-10-10 16:40 UTC	✅ ok	✅ done	8300 ms
2026-10-10 10:31 UTC	✅ ok	✅ done	8850 ms
2026-10-10 04:25 UTC	✅ ok	✅ done	7108 ms
2026-10-09 22:06 UTC	✅ ok	✅ done	8502 ms
2026-10-09 15:16 UTC	✅ ok	✅ done	10615 ms
2026-10-09 08:01 UTC	✅ ok	✅ done	10078 ms
2026-10-08 23:51 UTC	✅ ok	✅ done	9205 ms
2026-10-08 14:50 UTC	✅ ok	✅ done	9251 ms
2026-10-08 05:31 UTC	✅ ok	✅ done	9791 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 Mos AIsley Cantina?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.mosaisley/cantina.svg)](https://faceabot.com/tools/com.mosaisley/cantina)

Data in JSON: /api/catalog?id=com.mosaisley/cantina · 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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