1
Add it to Claude Code
claude mcp add crypto-signals -- fastmcp run server.py2
Make your agent remember this setup
crypto-signals's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.
npx conare@latestFree · one command · indexes the sessions already on disk. Set up in the browser instead →
What it does
- Volume anomaly detection using volume-to-market-cap ratios
- Continuous monitoring of 50+ major cryptocurrencies
- Anomaly classification into LOW, MODERATE, HIGH, or CRITICAL levels
- High-confidence filtering for actionable trading signals
- Real-time access to price, 24h change, and market cap data
Tools 3
scan_all_tokensScan all 50+ tokens for volume anomaliesanalyze_tokenDetailed analysis for a specific token (BTC, ETH, SOL, etc.)get_anomaly_alertsHigh-confidence alerts only (vol_mcap ratio above 5.0)Try it
→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?
Original README from MarcinDudekDev/crypto-signals-mcp
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