
Mcp Fraudlabspro
io.github.fraudlabspro由 GitHub 帳號 fraudlabspro 發布v1.1.1更新於 Oct 24, 2026
Fraud Prevention MCP server using FraudLabs Pro API.
概覽
讓助理透過 FraudLabs Pro API 篩查電商訂單與使用者事件的詐欺風險,並記錄審核回饋。
- 可以做什麼
- 此伺服器將 AI 助理連接到 FraudLabs Pro 詐欺偵測服務。它提供工具,可用 IP、電子郵件、金額、卡 BIN 及帳單/收貨國家篩查訂單,也可篩查登入、註冊等使用者事件。它還能查詢先前訂單或使用者篩查的結果,並提交回饋(核准、拒絕或加入黑名單)以改善偵測引擎。
- 適用情境
- 適合助理在客服、審核或營運流程中需要檢查訂單或帳戶事件的詐欺風險時使用,也適合查詢歷史篩查結果並記錄人工決定。適合已在使用 FraudLabs Pro、希望從聊天用戶端直接發起這些檢查的團隊。
- 執行需求
- 以 Python 套件(mcp-fraudlabspro)透過 stdio 在本機執行,需要 Python 3.10+ 以及 mcp、httpx、uv 函式庫。需要 FraudLabs Pro API 金鑰,透過環境變數 FRAUDLABSPRO_API_KEY 傳入。需要能連線至 FraudLabs Pro API 的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Mcp Fraudlabspro,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
FraudLabs Pro MCP Server
An MCP-compliant server that integrates the FraudLabs Pro fraud detection system into AI assistants like Claude Desktop. This server enables real-time screening of order transactions and user-related events (like logins or registrations) to identify and prevent fraudulent activities.
Features
-
Order Screening: Validate e-commerce orders using IP addresses, billing/shipping details, and credit card information.
-
User Screening: Analyze account-level events (registrations/logins) for suspicious patterns.
-
Transaction Management: Retrieve historical results for orders or user screenings.
-
Feedback Loop: Approve, Reject, or Blacklist transactions directly through the AI interface to improve the detection engine.
Prerequisites
- Python 3.10+ installed (only needed for the local MCP server).
- FraudLabs Pro API Key: Sign up for a Free Micro Plan API Key at FraudLabs Pro.
Installation
There are two ways to use this MCP server:
- Cloud-hosted MCP server: Connect directly to the hosted FraudLabs Pro MCP server. Nothing needs to be installed locally.
- Local MCP server: Download and run the server on your own machine.
Option 1: Cloud-hosted MCP server
Use this if you want to connect directly to the hosted server.
Method A: Direct HTTP connection
Use this if your MCP client supports remote servers over HTTP. No Node.js or npx is needed.
If your client is configured from the command line, such as Claude Code, you can add the server with:
Method B: Connection through npx
Use this if your MCP client only supports local (stdio) servers. The mcp-remote package runs locally and forwards requests to the hosted server. Node.js is required.
Restart your MCP client after saving the changes, and you should see the server appear in the tools menu.
Option 2: Local MCP server
- Install Dependencies Ensure you have the required libraries installed in your environment:
- Configuration To use this server with an MCP client (such as Claude Desktop), add the following entry to your configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Available Tools
📦 Order Management
👤 User Management
Development & Logging
The server uses FastMCP and sends logs through the MCP context. You can view logs in the Claude Desktop "Developer Console" to inspect outgoing payloads and API responses for debugging.
Common Error: If you receive "An API key is needed," ensure the FRAUDLABSPRO_API_KEY environment variable is correctly set in your configuration file and that you have restarted the MCP client.
License
See the LICENSE file.
來源:README.md,提交 e0e161a
工具
0版本歷史
1- v1.1.1最新Sep 16, 2026
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