CryptoSignals
Real-time crypto volume anomaly detection across 50+ tokens for whale signals
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CryptoSignals MCP Server
MCP server for real-time crypto volume anomaly detection across 50+ tokens. Detects unusual trading activity, whale movements, and pump signals.
Features
- Volume anomaly detection β Identifies tokens with unusual volume-to-market-cap ratios
- 50+ tokens monitored β Continuous scanning across major cryptocurrencies
- Anomaly classification β Signals rated LOW, MODERATE, HIGH, or CRITICAL
- High-confidence alerts β Filter for only the most actionable signals
- Live data β Real-time prices, 24h changes, volume, and market cap
Tools
| Tool | Description |
|---|---|
scan_all_tokens | Scan all 50+ tokens for volume anomalies |
analyze_token | Detailed analysis for a specific token (BTC, ETH, SOL, etc.) |
get_anomaly_alerts | High-confidence alerts only (vol_mcap ratio above 5.0) |
Quick Start
Install
pip install crypto-signals-mcp
Run
fastmcp run server.py
Configure in Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"crypto-signals": {
"command": "fastmcp",
"args": ["run", "server.py"]
}
}
}
Example Usage
Ask your AI assistant:
- "Scan all crypto tokens for volume anomalies"
- "Analyze Bitcoin for unusual trading activity"
- "Show me high-confidence crypto alerts"
- "Which tokens have whale movement signals right now?"
How It Works
The server connects to a live anomaly detection API that monitors trading volume across 50+ cryptocurrencies. It calculates volume-to-market-cap ratios to identify statistically unusual trading activity β often an early indicator of price movement, whale accumulation, or pump activity.
License
MIT
