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Binance MCP Server

Enables automated cryptocurrency trading on Binance and provides integration for monitoring Base network operations. It allows users to execute trades, fetch market data, and calculate technical indicators like RSI and MACD through the Model Context Protocol.

Updated
Feb 6, 2026

Binance MCP Server

A Model Context Protocol (MCP) server for cryptocurrency trading on Binance and Base network interactions. This server provides tools for automated trading, market analysis, and blockchain operations.

Features

  • Binance Trading Tools: Place orders, check balances, fetch market data, and calculate technical indicators.
  • Base Network Integration: Monitor blockchain status and prepare for DeFi operations.
  • Technical Analysis: Built-in RSI, MACD, Bollinger Bands, and moving averages.
  • Secure API Handling: Environment variables for API keys.

Installation

  1. Clone or navigate to the project directory.

  2. Create a virtual environment:

    python3 -m venv .venv
    
  3. Activate the virtual environment:

    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    
  4. Upgrade pip and install dependencies:

    pip install --upgrade pip
    pip install -r requirements.txt
    

Environment Variables

Create a .env file in the root directory with your API credentials:

# Binance API Configuration
BINANCE_API_KEY=your_binance_api_key_here
BINANCE_SECRET_KEY=your_binance_secret_key_here

Security Note: Never commit the .env file to version control. It is already included in .gitignore.

Running the MCP Server

Start the server with Server-Sent Events (SSE) transport:

python mcp_server.py

The server will run on http://127.0.0.1:8080/sse by default.

Available Tools

The MCP server exposes the following tools for integration with AI agents:

Trading Tools

  • get_account_balance(asset="USDT"): Get balance for a specific asset.
  • get_market_price(symbol="BTCUSDT"): Get current market price.
  • fetch_chart_data(symbol="BTCUSDT", interval="1h", limit=100): Fetch historical OHLCV data.
  • calculate_indicators(symbol="BTCUSDT", interval="1h", limit=100): Calculate technical indicators (RSI, MACD, Bollinger Bands, etc.).
  • get_symbol_rules(symbol="BTCUSDT"): Get trading rules and precision requirements.
  • adjust_leverage(symbol="BTCUSDT", leverage=5): Adjust leverage for futures trading.
  • place_order(symbol="BTCUSDT", side="BUY", quantity=0.001): Place a market order.

Blockchain Tools

  • get_base_network_status(): Check Base network health (block number, gas price).

Utility Tools

  • read_bot_logs(lines=20, log_type="general"): Read bot logs for debugging.

Testing

Run the tests to verify functionality:

python -m pytest tests/

Or run a specific test:

python tests/test_mcp_registration.py

Configuration

Trading parameters can be adjusted in config.py:

  • TRADING_PAIRS: List of symbols to trade.
  • MIN_ORDER_VALUE: Minimum order value in USDT.
  • STOP_LOSS_PERCENTAGE: Stop loss percentage.
  • TAKE_PROFIT_PERCENTAGE: Take profit percentage.
  • POLLING_INTERVAL: Time between checks (in seconds).

Security Considerations

  • Use testnet for initial testing.
  • Implement proper risk management.
  • Monitor API rate limits.
  • Keep API keys secure and rotate regularly.

Contributing

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

License

This project is licensed under the MIT License.

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