What are reliable alternatives to xrpldashboard?

Measured by Faceabot as working: XRPL Token Guard.

How do I connect an AI agent to xrpldashboard?

Use the MCP streamable HTTP endpoint https://mcp.xrpldashboard.com/mcp?ref=anthropic.

Catalog › com.xrpldashboard/xrpldashboard-mcp

Is xrpldashboard reliable?

Reliable (measured) Yes. Faceabot measured xrpldashboard 42 times: 100% of checks succeeded, including the last 42 in a row (last check 2026-10-19 15:31 UTC).

Last check: 2026-10-19 15:31 UTC · answered in 8580 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

Read-only XRP Ledger MCP tools with proof-annotation envelopes and signed daily snapshots.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "xrpldashboard-mcp": {
      "url": "https://mcp.xrpldashboard.com/mcp?ref=anthropic"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.xrpldashboard/xrpldashboard-mcp"} 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.

Other proven tools for the same job

XRPL Token Guard Reliable (measured) · 100%
Read-only XRP Ledger token-risk, issuer-authenticity and wallet-security checks. · https://cocoeatsai.com/area4/guard/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 15:31 UTC	✅ ok	—	8580 ms
2026-10-19 00:25 UTC	✅ ok	—	7280 ms
2026-10-18 09:15 UTC	✅ ok	—	7176 ms
2026-10-18 01:30 UTC	✅ ok	—	6160 ms
2026-10-17 17:20 UTC	✅ ok	—	7126 ms
2026-10-17 09:15 UTC	✅ ok	—	8136 ms
2026-10-17 01:20 UTC	✅ ok	—	5768 ms
2026-10-16 18:10 UTC	✅ ok	—	6289 ms
2026-10-16 11:05 UTC	✅ ok	—	8186 ms
2026-10-16 04:15 UTC	✅ ok	—	5356 ms
2026-10-15 21:20 UTC	✅ ok	—	6897 ms
2026-10-15 14:31 UTC	✅ ok	—	5114 ms
2026-10-15 07:55 UTC	✅ ok	—	4401 ms
2026-10-15 01:25 UTC	✅ ok	—	3421 ms
2026-10-14 19:00 UTC	✅ ok	—	6990 ms
2026-10-14 12:30 UTC	✅ ok	—	4524 ms
2026-10-14 06:06 UTC	✅ ok	—	9626 ms
2026-10-13 23:21 UTC	✅ ok	—	8765 ms
2026-10-13 17:15 UTC	✅ ok	—	8742 ms
2026-10-13 11:11 UTC	✅ ok	—	8863 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 xrpldashboard →

Publisher of xrpldashboard?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.xrpldashboard/xrpldashboard-mcp.svg)](https://faceabot.com/tools/com.xrpldashboard/xrpldashboard-mcp)

Data in JSON: /api/catalog?id=com.xrpldashboard/xrpldashboard-mcp · 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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