Behavioural Prediction Mcp

Name: Behavioural Prediction Mcp
Author: ChainAware

@ChainAware

Behavioural Prediction Mcp について

The Behavioural Prediction MCP Server provides AI-powered tools to analyze wallet behaviour prediction,fraud detection and rug pull prediction.

#ai #fraud-detection #aml #audit #behavioural #prediction

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

ChainAware

投稿者

Test Email

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "behavioral-prediction-mcp": {
      "type": "http",
      "url": "https://prediction.mcp.chainaware.ai/sse",
      "description": "The Behavioural Prediction MCP Server provides AI-powered tools to analyze wallet behaviour prediction,fraud detection and rug pull prediction.",
      "auth": {
        "type": "api_key",
        "header": "X-API-Key"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Behavioural Prediction MCP?

The Behavioural Prediction MCP Server provides AI-powered tools to analyze wallet behaviour, detect fraud, and predict rug pulls on blockchain networks. It is designed for developers and platforms integrating security analytics into DeFi and Web3 applications via the Model Context Protocol (MCP).

How to use Behavioural Prediction MCP?

Use any MCP‑compatible client to connect to the server URL (https://prediction.mcp.chainaware.ai/sse), provide an API key in the X-API-Key header, and call one of the three available tools (predictive_fraud, predictive_behaviour, or predictive_rug_pull). Example client code in Node.js and Python is provided in the README.

Key features of Behavioural Prediction MCP

Predictive fraud detection with ~98% accuracy and AML checks.
Behaviour analysis to forecast wallet intentions and risk profiles.
Rug‑pull prediction for DeFi liquidity pools and contracts.
Supports multiple networks: ETH, BNB, POLYGON, TON, BASE, TRON, HAQQ.
Real‑time responses via Server‑Sent Events (SSE).
API‑key authentication for production endpoints.

Use cases of Behavioural Prediction MCP

Evaluate a wallet address for fraud before interacting.
Forecast what a wallet will do next (trade, stake, deposit).
Warn users before they invest in a risky DeFi pool.
Monitor smart‑contract security for potential exploits.

FAQ from Behavioural Prediction MCP

What blockchains are supported?

The fraud detection tool supports ETH, BNB, POLYGON, TON, BASE, TRON, and HAQQ. The behaviour analysis and rug‑pull detection tools support ETH, BNB, BASE, and HAQQ.

How do I authenticate with the MCP server?

An API key is required. Set it in the HTTP header X-API-Key when connecting to the server. Access can be requested via ChainAware pricing plans.

What errors can occur when calling a tool?

Errors include 403 Unauthorized (invalid API key), 400 Bad Request (malformed network or address), and 500 Internal Server Error (temporary downstream failure).

Is the server implementation open source?

The client examples are released under the MIT license, but the server implementation and backend logic are proprietary.

How do I get an API key?

You can subscribe to available plans at https://chainaware.ai/pricing to request production access.

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