CryptoSignals
Real-time crypto volume anomaly detection across 50+ tokens for whale signals
Open source Open in the app JSON README (API)
About
Real-time crypto volume anomaly detection across 50+ tokens for whale signals
Details
- Kind
- MCP servers
- Topic
- Finance & crypto
- Publisher
- marcindudekdev
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 1.0.1
- Stars
- 1
- Forks
- 2
- Last push
- 2026-03-05T15:02:14Z
- Repository state
- ativo
- Language
- Python
- Added
- 2026-08-29 03:02:05
- Updated
- 2026-08-29 03:02:05
- Origin id
io.github.MarcinDudekDev/crypto-signals-mcp
README
# CryptoSignals MCP Server
<!-- mcp-name: io.github.MarcinDudekDev/crypto-signals-mcp -->
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
```bash
pip install crypto-signals-mcp
```
### Run
```bash
fastmcp run server.py
```
### Configure in Claude Desktop
Add to your `claude_desktop_config.json`:
```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