ChainAware Prediction MCP
MCPWallet behavior prediction and fraud detection MCP. Rug-pull detection, token ranking, behavioral analysis.
fraudpredictionrug-pullsecuritymcp
# ChainAware Prediction MCP
Wallet behavior prediction and fraud detection via MCP. Detect rug-pulls, rank tokens by safety, and analyze wallet behavioral patterns.
## Agent Usage
### Install
```json
{
"mcpServers": {
"chainaware": {
"command": "npx",
"args": ["-y", "@chainaware/behavioral-prediction-mcp"],
"env": { "CHAINAWARE_API_KEY": "<your-key>" }
}
}
}
```
### Key Tools
- `detect_rug_pull` โ analyze a token contract for rug-pull risk indicators
- `rank_tokens` โ rank tokens by safety score and behavioral signals
- `analyze_wallet` โ behavioral analysis of a wallet (patterns, risk flags, associations)
- `predict_behavior` โ predict likely next actions for a wallet based on history
- `get_fraud_score` โ overall fraud risk score for an address
### Example Prompt
> "Analyze this token contract for rug-pull risk before I ape in: 0xabc...123"
### When to Use
- Pre-trade token safety checks
- Wallet due diligence before interacting with a counterparty
- Automated fraud screening in trading pipelines
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*Source: [ChainAware/behavioral-prediction-mcp](https://github.com/ChainAware/behavioral-prediction-mcp)*๐งช Found this useful?
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