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MCP server for real-time crypto volume anomaly detection across 50+ tokens

Project description

CryptoSignals MCP Server

PyPI Awesome MCP Servers

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

uvx crypto-signals-mcp

Or with pip:

fastmcp run server.py

Configure in Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "crypto-signals": {
      "command": "uvx",
      "args": ["crypto-signals-mcp"]
    }
  }
}

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 CoinGecko's free API and 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.

Also Available On

License

MIT

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