Honeypot Transaction Monitoring System MCP Server

@Thinh-nguyen-03

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基本信息

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开发工具

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stdio

作者

Thinh-nguyen-03

关于 Honeypot Transaction Monitoring System MCP Server

Enterprise-grade MCP server providing real-time transaction monitoring and fraud detection capabilities for honeypot virtual credit cards with Lithic.com. Features instant SSE alerts, comprehensive transaction intelligence, and sophisticated merchant analysis for advanced scammer

#transaction-monitoring#fraud-detection#honeypot

Honeypot Transaction Monitoring System MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "honeypot-mcp-server": {
      "command": "node",
      "args": [
        "tests/unit/services/alert-service.test.js"
      ]
    }
  }
}

Honeypot Transaction Monitoring System MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🍯 Honeypot Transaction Monitoring System?

The system is an enterprise-grade fraud detection platform that uses Lithic virtual cards as honeypots to detect and analyze fraudulent activities in real time. It integrates with AI agents via Server-Sent Events and the Model Context Protocol (MCP) to enable dynamic scammer verification during live conversations.

How to use 🍯 Honeypot Transaction Monitoring System?

Clone the repository, run npm install, configure environment variables (Supabase URL, Lithic API key, etc.), ensure the required Supabase database tables exist, then start the server with npm run dev or npm start. AI agents can connect to the SSE alert stream at /api/alerts/stream/:cardToken using an Authorization Bearer token.

Key features of 🍯 Honeypot Transaction Monitoring System

Real‑time transaction alerts via Server‑Sent Events
Virtual card creation and management through Lithic API
Merchant analysis with MCC categorization and pattern recognition
Comprehensive transaction intelligence and risk assessment metrics
Enterprise‑grade validation, structured logging, and health monitoring

Use cases of 🍯 Honeypot Transaction Monitoring System

Detect and block fraudulent transactions as they occur using honeypot cards
Verify scammer identity in real time during AI‑led conversations
Analyze merchant patterns and transaction history to identify fraud trends
Monitor system health and connection metrics for operational oversight
Simulate transactions via webhooks for testing and development

常见问题

What runtime and dependencies are required?

Node.js 18+, Express.js, a Supabase PostgreSQL instance, and Lithic API credentials with account access.

How does real‑time alert delivery work?

The system pushes transaction alerts to connected AI agents using Server‑Sent Events (SSE), with connection health monitoring and auto‑recovery.

Where is transaction data stored?

All transaction records, merchant information, and card data are persisted in a Supabase PostgreSQL database with predefined tables (`transactions`, `merchants`, `cards`).

How are AI agents authenticated?

Agents authenticate to the SSE alert stream by providing a Bearer session token in the Authorization header.

What is the purpose of the MCP endpoints?

The MCP endpoints (`/api/mcp/list_available_cards`, `/api/mcp/get_card_details`, `/api/mcp/get_card_info`) let AI agents retrieve honeypot card details, including PAN numbers, for live scammer verification.

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