🌈 AI-powered Bitcoin price prediction signals through Model Context Protocol (MCP)

CryptoWeather MCP Server provides real-time Bitcoin price prediction signals from the CryptoWeather AI system. Get hourly updated trading signals, performance metrics, and AI-driven market insights directly in your Claude conversations.

• Real-time Bitcoin Signals: Get current AI predictions for Bitcoin price movements
• Trading Recommendations: Receive detailed buy/sell/hold recommendations
• Performance Metrics: Access historical backtest results and current profit metrics
• Signal Analysis: Understand signal clarity and confidence levels
• Hourly Updates: Fresh predictions updated every hour

1. Make sure you have uv installed, and run uv run python main.py once in the directory to build the virtual environment.
2. Add to your Claude Desktop MCP configuration (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json):

Recommended configuration using uv:

{
  "mcpServers": {
    "cryptoweather": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/cryptoweather",
        "run",
        "main.py"
      ]
    }
  }
}

Alternative configuration using the created virtual environment python:

{
  "mcpServers": {
    "cryptoweather": {
      "command": "/path/to/cryptoweather/.venv/bin/python",
      "args": [
        "/path/to/cryptoweather/main.py"
      ]
    }
  }
}

Install from source:

git clone https://github.com/2051project/cryptoweather.git
cd cryptoweather
pip install -e .

Once installed, you can use the following tools in your Claude conversations:

1. get_bitcoin_signal() - Get current Bitcoin prediction signal
2. get_trading_recommendation() - Get detailed trading advice
3. get_performance_metrics() - View AI performance statistics
4. get_signal_history() - Learn about signal methodology

• Sunny ☀️: Strong directional signal with high confidence
• Cloudy ☁️: Mixed or uncertain market conditions

• Buy: AI predicts price increase
• Sell: AI predicts price decrease
• Hold: AI suggests maintaining current position

• Update Frequency: Every hour
• Response Format: JSON with signal, clarity, position, and profit data

{
  "Clear": {
    "Clarity": "74%",
    "backtest": "24,510%",
    "pos": "hold",
    "profit": "538%",
    "sig": "C",
    "signal": "Cloudy ☁️"
  },
  "version": "2.0"
}

⚠️ Important: CryptoWeather predictions are for informational purposes only. This is not financial advice. Always do your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.

• Website: https://cryptoweather.xyz
• Issues: GitHub Issues

MIT License - see LICENSE file for details.

python main.py --debug

• Python 3.10+
• fastmcp >= 0.1.0
• requests >= 2.28.0

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

Made with ❤️ by the CryptoWeather Team