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Enables automated cryptocurrency trading on Binance and provides integration for monitoring Base network operations. It allows users to execute trades, fetch ma
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.
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.
Clone or navigate to the project directory.
Create a virtual environment:
python3 -m venv .venv
Activate the virtual environment:
source .venv/bin/activate # On Windows: .venv\Scripts\activate
Upgrade pip and install dependencies:
pip install --upgrade pip
pip install -r requirements.txt
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.
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.
The MCP server exposes the following tools for integration with AI agents:
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.get_base_network_status(): Check Base network health (block number, gas price).read_bot_logs(lines=20, log_type="general"): Read bot logs for debugging.Run the tests to verify functionality:
python -m pytest tests/
Or run a specific test:
python tests/test_mcp_registration.py
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).This project is licensed under the MIT License.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"binance-mcp-server": {
"command": "npx",
"args": []
}
}
}