MarcinDudekDev/crypto-signals-mcp

💰 Finance & Fintech
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🐍 ☁️ - Real-time crypto volume anomaly detection across 50+ tokens. Detects unusual trading activity, whale movements, and pump signals via live API.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "marcindudekdev-crypto-signals-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "marcindudekdev-crypto-signals-mcp"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

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

ToolDescription
scan_all_tokensScan all 50+ tokens for volume anomalies
analyze_tokenDetailed analysis for a specific token (BTC, ETH, SOL, etc.)
get_anomaly_alertsHigh-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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