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CryptoSignals

Official registry Finance and payments

Real-time crypto volume anomaly detection across 50+ tokens for whale signals

Source code Documentation

What can you do with CryptoSignals?

  • 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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package crypto-signals-mcp
Claude Code 
claude mcp add cryptosignals -- uvx crypto-signals-mcp==1.0.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "cryptosignals": {
            "command": "uvx",
            "args": [
                "crypto-signals-mcp==1.0.1"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. CryptoSignals MCP Server
  2. Features
  3. Tools
  4. Quick Start
  5. Example Usage
  6. How It Works
  7. License

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

Frequently asked questions

What is CryptoSignals?

Real-time crypto volume anomaly detection across 50+ tokens for whale signals

How do I install CryptoSignals?

It runs on your machine. In Claude Code: claude mcp add cryptosignals -- uvx crypto-signals-mcp==1.0.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does CryptoSignals need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is CryptoSignals open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains CryptoSignals?

It is published by MarcinDudekDev. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.