Provides tools for cryptocurrency trading on Binance, enabling automated market analysis, account balance monitoring, technical indicator calculation, and execution of market orders.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Binance MCP ServerCalculate the RSI and MACD for BTCUSDT on the 1-hour chart"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Clone or navigate to the project directory.
Create a virtual environment:
python3 -m venv .venvActivate the virtual environment:
source .venv/bin/activate # On Windows: .venv\Scripts\activateUpgrade 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:
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:
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:
Or run a specific test:
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
Fork the repository.
Create a feature branch.
Make your changes.
Add tests for new functionality.
Submit a pull request.
License
This project is licensed under the MIT License.