Xrpl Risk Scorer

Name: Xrpl Risk Scorer
Author: kynto2001-ctrl

@kynto2001-ctrl

代码仓库

关于 Xrpl Risk Scorer

Check any XRPL wallet for risk before sending XRP.

#xrpl #blockchain #security #crypto #risk #sanctions #defi #web3 #finance

基本信息

分类

其他

传输方式

stdio

发布者

kynto2001-ctrl

提交者

Kynto

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "xrpl-risk-scorer": {
      "command": "node",
      "args": [
        "mcp-server.mjs"
      ],
      "description": "XRPL wallet risk scoring with 21 signals, OFAC sanctions screening, and x402 payments"
    }
  }
}

工具

Full 21-signal analysis

Fast 3-second pre-payment

Plain English explanation

概览

What is Xrpl Risk Scorer?

Xrpl Risk Scorer is an MCP server that checks any XRPL wallet address for risk before sending XRP. It provides a full 21‑signal analysis, a fast 3‑second pre‑payment check, and plain‑English explanations of risk scores.

How to use Xrpl Risk Scorer?

Clone the repository (git clone https://github.com/kynto2001-ctrl/wallet-risk-service), install dependencies (npm install), and run the MCP server (node mcp-server.mjs). Then use prompts such as “Check if rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh is safe to send XRP to” to invoke the tools.

Key features of Xrpl Risk Scorer?

check_xrpl_wallet_risk – full 21‑signal analysis including sanctions and scam databases
quick_xrpl_prescore – 3‑second verdict: ALLOW, CHALLENGE, or BLOCK
explain_xrpl_risk_score – plain‑English explanation with actionable recommendations
Detects wash trading, bot timing, and fan‑out patterns
Integrates known scam database for additional safety
Live demo available at xrplriskscore.ai

Use cases of Xrpl Risk Scorer

Check an XRPL wallet’s safety before sending XRP
Perform a fast pre‑payment risk screen with a three‑second verdict
Understand a risk score result and receive actionable recommendations
Integrate risk scoring into an automated XRP transaction pipeline

FAQ from Xrpl Risk Scorer

What does the full risk analysis include?

The check_xrpl_wallet_risk tool evaluates 21 signals, including sanctions screening, wash trading detection, bot timing analysis, fan‑out pattern detection, and a known scam database lookup

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