Crypto Signals MCP Server

Local setup required. This server has to be cloned and prepared on your machine before you register it in Claude Code.
1

Set the server up locally

Run this once to clone and prepare the server before adding it to Claude Code.

Run in terminal
pip install crypto-signals-mcp
2

Register it in Claude Code

After the local setup is done, run this command to point Claude Code at the built server.

Run in terminal
claude mcp add crypto-signals -- node "<FULL_PATH_TO_CRYPTO_SIGNALS_MCP>/dist/index.js"

Replace <FULL_PATH_TO_CRYPTO_SIGNALS_MCP>/dist/index.js with the actual folder you prepared in step 1.

README.md

Real-time crypto volume anomaly detection across 50+ tokens.

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

Tools (3)

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)

Configuration

claude_desktop_config.json
{"mcpServers": {"crypto-signals": {"command": "fastmcp", "args": ["run", "server.py"]}}}

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?

Frequently Asked Questions

What are the key features of Crypto Signals?

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.

What can I use Crypto Signals for?

Identifying potential pump and dump activity in the crypto market. Detecting whale accumulation patterns through volume spikes. Monitoring market volatility for specific tokens like BTC or ETH. Filtering out market noise to focus on high-confidence trading signals.

How do I install Crypto Signals?

Install Crypto Signals by running: pip install crypto-signals-mcp

What MCP clients work with Crypto Signals?

Crypto Signals works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep Crypto Signals docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare