BingX MCP Server

Production-ready MCP (Model Context Protocol) server for the BingX cryptocurrency exchange. Enables LLM agents to access BingX market data and execute trades through the official BingX API.

Features

• Market Data: Ticker, OHLCV/candles, order book depth, recent trades, funding rate, open interest
• Account: Balance, open positions, PnL
• Trading: Create/cancel orders, order history, leverage management
• Scalping Metrics: Spread, orderbook imbalance, buy/sell delta, volume spike, ATR, RSI, VWAP
• Technical Indicators: EMA, SMA, VWAP, RSI, ATR, MACD, Bollinger Bands, Volume Delta, CVD, Momentum, ROC
• WebSocket Client: Real-time streams with auto-reconnect
• Security: HMAC-SHA256 signature, rate limiting, retry logic, structured logging

Architecture

bingx-mcp2/
├── src/
│   ├── api/
│   │   └── client.py          # HTTP client with HMAC-SHA256 auth
│   ├── services/
│   │   ├── market.py          # Market data service
│   │   ├── account.py         # Account/balance service
│   │   ├── trade.py           # Trading operations service
│   │   └── indicators.py      # Technical indicator calculations
│   ├── tools/
│   │   ├── account_tools.py   # Balance, positions MCP tools
│   │   ├── trade_tools.py     # Order, leverage MCP tools
│   │   ├── market_tools.py    # Ticker, klines, orderbook MCP tools
│   │   └── scalping_tools.py  # Indicators, scalping metrics MCP tools
│   ├── models/
│   │   ├── common.py          # Shared models
│   │   ├── market.py          # Market data Pydantic models
│   │   ├── account.py         # Account Pydantic models
│   │   └── trade.py           # Trade Pydantic models
│   ├── utils/
│   │   ├── config.py          # Environment configuration
│   │   ├── logging.py         # Loguru structured logging
│   │   ├── ratelimit.py       # Token-bucket rate limiter
│   │   └── retry.py           # Exponential backoff retry
│   └── websocket/
│       └── client.py          # WebSocket client with auto-reconnect
├── main.py                    # Entry point
├── requirements.txt
├── .env.example
└── README.md

Installation

Prerequisites

• Python 3.12+
• BingX API Key and Secret Key

Setup

# Clone the repository
git clone <repo-url> bingx-mcp2
cd bingx-mcp2

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate  # Linux/Mac
# .venv\Scripts\activate   # Windows

# Install dependencies
pip install -r requirements.txt

# Configure API keys
cp .env.example .env
# Edit .env with your credentials

Environment Variables

Create a .env file:

BINGX_API_KEY=your_bingx_api_key
BINGX_SECRET_KEY=your_bingx_secret_key
BINGX_ENV=prod-live       # or 'prod-vst' for demo environment

Getting API Keys

1. Log in to BingX
2. Navigate to API Management under your user menu
3. Click Create API
4. Set permissions: enable Perpetual Futures Trading (at minimum)
5. Save the API Key and Secret Key securely

Usage

Starting the Server

Stdio transport (default, for Claude Desktop / Cursor):

python main.py

SSE transport (for HTTP-based clients, OpenAI Agents SDK):

python main.py --sse --host 0.0.0.0 --port 8000

MCP Tools Reference

Tool	Description	Auth
get_balance	Total/available balance, unrealized PnL, per-asset	Yes
get_positions	Open positions with entry price, mark price, liq price	Yes
get_open_orders	Currently open orders	Yes
get_order_history	Historical orders with time/count filters	Yes
create_order	Create MARKET/LIMIT/STOP/TAKE_PROFIT orders	Yes
cancel_order	Cancel order by ID	Yes
cancel_all_orders	Cancel all open orders for a symbol	Yes
set_leverage	Set leverage (1-125x)	Yes
get_ticker	Last price, bid, ask, spread	No
get_klines	OHLCV candlestick data (all intervals)	No
get_orderbook	Order book depth with imbalance	No
get_recent_trades	Recent public trades	No
get_open_interest	Open interest	No
get_funding_rate	Funding rate, mark price, index price	No
get_long_short_ratio	Long/short ratio from trades	No
get_taker_flow	Taker buy/sell volume delta	No
calculate_indicators	EMA, SMA, RSI, MACD, BB, VWAP, ATR, etc.	No
get_scalping_metrics	Comprehensive scalping snapshot	No

Order Types Supported

# Market order
create_order(symbol="BTC-USDT", side="BUY", type="MARKET", quantity=0.01)

# Limit order
create_order(symbol="BTC-USDT", side="SELL", type="LIMIT", quantity=0.01, price=100000)

# Stop-loss market
create_order(symbol="BTC-USDT", side="SELL", type="STOP_MARKET", quantity=0.01, stop_price=95000)

# Stop-loss limit
create_order(symbol="BTC-USDT", side="SELL", type="STOP", quantity=0.01, price=94900, stop_price=95000)

# Take-profit market
create_order(symbol="BTC-USDT", side="SELL", type="TAKE_PROFIT_MARKET", quantity=0.01, stop_price=105000)

# Take-profit limit
create_order(symbol="BTC-USDT", side="SELL", type="TAKE_PROFIT", quantity=0.01, price=105100, stop_price=105000)

Claude Desktop Integration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "bingx": {
      "command": "python",
      "args": ["/absolute/path/to/bingx-mcp2/main.py"],
      "env": {
        "BINGX_API_KEY": "your_api_key",
        "BINGX_SECRET_KEY": "your_secret_key"
      }
    }
  }
}

Cursor Integration

Add to Cursor's MCP configuration (~/.cursor/mcp.json):

{
  "mcpServers": {
    "bingx": {
      "command": "python",
      "args": ["/absolute/path/to/bingx-mcp2/main.py"],
      "env": {
        "BINGX_API_KEY": "your_api_key",
        "BINGX_SECRET_KEY": "your_secret_key"
      }
    }
  }
}

OpenAI Agents SDK Integration

Run the server in SSE mode:

python main.py --sse --port 8000

Then connect in your agent:

from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        name="bingx",
        params={
            "url": "http://localhost:8000/sse",
        },
    ) as server:
        agent = Agent(
            name="trading_agent",
            instructions="You are a crypto trading assistant with access to BingX market data.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "What's the current BTC price and order book imbalance?")
        print(result.final_output)

Technical Details

API Endpoints Used

Based on the official BingX API documentation:

Category	Endpoint	Method
Market	/openApi/swap/v2/quote/ticker	GET
Market	/openApi/swap/v2/quote/bookTicker	GET
Market	/openApi/swap/v2/quote/depth	GET
Market	/openApi/swap/v2/quote/trades	GET
Market	/openApi/swap/v3/quote/klines	GET
Market	/openApi/swap/v2/quote/openInterest	GET
Market	/openApi/swap/v2/quote/premiumIndex	GET
Account	/openApi/swap/v3/user/balance	GET
Account	/openApi/swap/v2/user/positions	GET
Trade	/openApi/swap/v2/trade/order	POST
Trade	/openApi/swap/v2/trade/order	DELETE
Trade	/openApi/swap/v2/trade/openOrders	GET
Trade	/openApi/swap/v2/trade/allOrders	GET
Trade	/openApi/swap/v2/trade/allOpenOrders	DELETE
Trade	/openApi/swap/v2/trade/leverage	POST

Authentication

Requests are signed using HMAC-SHA256:

1. Parameters are sorted alphabetically
2. Query string is built: param1=value1&param2=value2&...&timestamp=...
3. HMAC-SHA256 signature is computed with the secret key and hex-encoded
4. Signature is appended: querystring&signature=...

Rate Limiting

The client enforces BingX API rate limits:

• Market data: 500 requests/10 seconds per IP
• Account/Trade: 5-10 requests/second

Error Handling

• Automatic retry with exponential backoff (max 3 attempts)
• Domain fallback (bingx.com -> bingx.pro)
• Structured logging to stderr and rotating log files
• All errors returned as JSON with descriptive messages

License

MIT