Chainaware Behavioral Prediction — AI skill for Claude Code

🧠 ChainAware Behavioural Prediction MCP Server

**MCP Server Name:** ChainAware Behavioural Prediction MCP

**Category:** Web3 / Security / DeFi Analytics

**Status:** Public tools – Private backend

**Access:** By request (API key)

**Server URL:** [https://prediction.mcp.chainaware.ai/sse]

**Repository:** [https://github.com/ChainAware/behavioral-prediction-mcp]

**Website:** [https://chainaware.ai/]

**Twitter:** [https://x.com/ChainAware/]

mcp-name: io.github.ChainAware/chainaware-behavioral-prediction-mcp

---

📖 Description

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

Developers and platforms can integrate these tools through the MCP protocol to safeguard DeFi users, monitor liquidity risks, and score wallet or contract trustworthiness.

All tools follow the [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol/spec) and can be consumed via MCP-compatible clients.

---

⚙️ Available Tools

1. Predictive Fraud Detection Tool

**ID:** `predictive_fraud`

**Description:** This AI‑powered algorithm forecasts the likelihood of fraudulent activity on a given wallet address *before* it happens (≈98% accuracy), and performs AML/Anti‑Money‑Laundering checks. Use this when your user wants a risk assessment or early‑warning on a blockchain address.

➡️ Example Use Cases:

• Is it safe to intercant with vitalik.eth ?
• What is the fraudulent status of this address ?
• Is my new wallet at risk of being used for fraud?  

**Inputs:**

Name	Type	Required	Description
apiKey	string	✅	API key for authentication

...