How do I connect an AI agent to Arroway?

Use the MCP streamable HTTP endpoint https://www.arroway.app/api/mcp.

Catalog › io.github.oaleviola/arroway

Is Arroway reliable?

Reliable (measured) Yes. Faceabot measured Arroway 17 times: 100% of checks succeeded, including the last 17 in a row (last check 2026-10-19 12:00 UTC). It answers, but its real task has not worked yet (0/17 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 12:00 UTC · answered in 7364 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

Arroway orchestrates people and AI agents around the decisions in force.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.45 · publisher website

Connect your agent

{
  "mcpServers": {
    "arroway": {
      "url": "https://www.arroway.app/api/mcp"
    }
  }
}

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

Does it actually do the job?

Fails real tasks — Faceabot asked arroway_catch_up to do a small read-only task 17 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 3706 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 12:00 UTC	✅ ok	❌ tool_error	7364 ms
2026-10-18 19:40 UTC	✅ ok	❌ tool_error	6950 ms
2026-10-18 06:50 UTC	✅ ok	❌ tool_error	5841 ms
2026-10-17 23:00 UTC	✅ ok	❌ tool_error	5141 ms
2026-10-17 14:50 UTC	✅ ok	❌ tool_error	6551 ms
2026-10-17 06:45 UTC	✅ ok	❌ tool_error	6704 ms
2026-10-16 23:00 UTC	✅ ok	❌ tool_error	6013 ms
2026-10-16 15:50 UTC	✅ ok	❌ tool_error	5684 ms
2026-10-16 08:50 UTC	✅ ok	❌ tool_error	5942 ms
2026-10-16 01:55 UTC	✅ ok	❌ tool_error	5477 ms
2026-10-15 18:55 UTC	✅ ok	❌ tool_error	7987 ms
2026-10-15 12:11 UTC	✅ ok	❌ tool_error	3571 ms
2026-10-15 05:35 UTC	✅ ok	❌ tool_error	2998 ms
2026-10-14 23:00 UTC	✅ ok	❌ tool_error	2864 ms
2026-10-14 16:35 UTC	✅ ok	❌ tool_error	7344 ms
2026-10-14 10:05 UTC	✅ ok	❌ tool_error	4149 ms
2026-10-14 03:26 UTC	✅ ok	❌ tool_error	10159 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 Arroway →

Publisher of Arroway?

Show your measured reliability on your README or website:

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

Data in JSON: /api/catalog?id=io.github.oaleviola/arroway · 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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