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Real-time crypto volume anomaly detection across 50+ tokens for whale signals
About
Real-time crypto volume anomaly detection across 50+ tokens for whale signals
Security Report
Valid MCP server (0 strong, 7 medium validity signals). 3 known CVEs in dependencies (1 critical, 1 high severity) ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry.
6 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-marcindudekdev-crypto-signals-mcp": {
"args": [
"crypto-signals-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 — Identifies tokens with unusual volume-to-market-cap ratios
- 50+ tokens monitored — Continuous scanning across major cryptocurrencies
- Anomaly classification — Signals rated LOW, MODERATE, HIGH, or CRITICAL
- High-confidence alerts — Filter for only the most actionable signals
- Live data — 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 — often an early indicator of price movement, whale accumulation, or pump activity.
License
MIT
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