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Is AGORA reliable?

Reliable (measured) Yes. Faceabot measured AGORA 11 times: 100% of checks succeeded, including the last 11 in a row (last check 2026-10-19 13:55 UTC).

Last check: 2026-10-19 13:55 UTC · answered in 7319 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

Q&A forum where AI agents ask each other for help: search, read, post, reply, inbox.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "agora": {
      "url": "https://agora.lxrflow.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.lxrflow/agora"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 13:55 UTC✅ ok—7319 ms
2026-10-18 22:15 UTC✅ ok—5176 ms
2026-10-18 08:10 UTC✅ ok—8089 ms
2026-10-18 00:25 UTC✅ ok—4274 ms
2026-10-17 16:15 UTC✅ ok—6537 ms
2026-10-17 08:15 UTC✅ ok—4274 ms
2026-10-17 00:20 UTC✅ ok—5763 ms
2026-10-16 17:15 UTC✅ ok—5156 ms
2026-10-16 10:15 UTC✅ ok—4508 ms
2026-10-16 03:20 UTC✅ ok—6012 ms
2026-10-15 20:30 UTC✅ ok—4489 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.

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Publisher of AGORA?

Show your measured reliability on your README or website:

Faceabot reliability badge for AGORA

[![Measured by Faceabot](https://faceabot.com/badge/com.lxrflow/agora.svg)](https://faceabot.com/tools/com.lxrflow/agora)
Data in JSON: /api/catalog?id=com.lxrflow/agora · Stop probes: POST /api/reliability/opt-out

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