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MEXC API Trading: Complete Developer Guide (2026)

Learn how to connect to the MEXC API for automated trading. Covers REST and WebSocket endpoints, API key setup, rate limits, Python examples, and TradingView integration.

12 min read Read timeLast updated: 2026-02-26

MEXC API Overview & Getting Started

MEXC provides a comprehensive API that allows developers and traders to programmatically access trading, account, and market data features. The API supports two protocols: REST API — for executing trades, managing orders, checking balances, and retrieving historical data. Uses standard HTTP requests (GET, POST, DELETE). Base URL: api.mexc.com. WebSocket API — for real-time market data streaming including live order books, trade feeds, candlestick data, and account updates. Base URL: wss://wbs.mexc.com/ws. To get started: (1) Create a MEXC account at mexc.com (referral code mexc-bonus20), (2) Go to your Profile > API Management, (3) Click "Create API" and give it a descriptive label (e.g., "Trading Bot"), (4) Set permissions — choose between Read Only, Spot Trading, Futures Trading, or Withdrawal access. For automated trading, enable both Read and Spot/Futures Trading permissions. Never enable withdrawal permission for trading bots. (5) Optionally restrict the API key to specific IP addresses for additional security, (6) Save your API Key and Secret Key securely. The Secret Key is only shown once. Store it in environment variables, never in code.

REST API Endpoints & Authentication

Key MEXC REST API endpoints. Public (no auth required): GET /api/v3/exchangeInfo — trading rules and pair info; GET /api/v3/depth — order book for a symbol; GET /api/v3/trades — recent trades; GET /api/v3/klines — candlestick/OHLCV data; GET /api/v3/ticker/price — current prices. Private (requires API key and signature): POST /api/v3/order — place a new order; DELETE /api/v3/order — cancel an order; GET /api/v3/openOrders — list open orders; GET /api/v3/account — account balance and info; GET /api/v3/myTrades — your trade history. Authentication: All private endpoints require three headers: X-MEXC-APIKEY (your API key), a timestamp parameter, and a signature (HMAC SHA256 of the query string using your Secret Key). The signature prevents request tampering. Rate limits: 20 requests per second for order endpoints, 10 requests per second for other endpoints. Rate limits are per API key. Exceeding them returns HTTP 429. The API follows Binance-compatible format, so most libraries built for Binance (like python-binance or ccxt) work with minimal modifications.

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Building a Trading Bot with Python

The easiest way to build a MEXC trading bot is using the ccxt library, which supports MEXC alongside 100+ other exchanges. Install with: pip install ccxt. Basic setup: import ccxt, create an exchange instance with exchange = ccxt.mexc({apiKey: YOUR_API_KEY, secret: YOUR_SECRET}). Fetch balances: exchange.fetch_balance(). Place a limit buy order: exchange.create_limit_buy_order("BTC/USDT", amount, price). Place a market sell order: exchange.create_market_sell_order("BTC/USDT", amount). Cancel order: exchange.cancel_order(order_id, "BTC/USDT"). Fetch OHLCV data: exchange.fetch_ohlcv("BTC/USDT", "1h", limit=100). For real-time data, use the WebSocket: subscribe to trade streams or order book updates for instant data without polling. Best practices for production bots: (1) Always use environment variables for API keys, never hardcode them, (2) Implement proper error handling — network timeouts, rate limit responses, and exchange errors, (3) Add logging to track every order and decision, (4) Test thoroughly on demo/testnet before using real funds, (5) Set maximum position sizes and daily loss limits in your code, (6) Monitor your bot continuously — automated does not mean unattended.

TradingView Integration & Webhook Alerts

You can connect TradingView alerts to MEXC for semi-automated or fully automated trading. TradingView allows you to create alerts based on technical indicators, price levels, or custom Pine Script strategies. When an alert fires, it can send a webhook HTTP request to your server, which then executes a trade on MEXC via the API. Setup workflow: (1) Write a trading strategy or set up an indicator alert in TradingView, (2) Create a webhook receiver — this is a small web server (Python Flask, Node.js Express, etc.) that listens for TradingView webhook POST requests, (3) In the webhook handler, parse the alert message (which can include symbol, side, amount), (4) Use the MEXC API (via ccxt or direct REST calls) to execute the corresponding trade, (5) In TradingView, set the alert webhook URL to your server address. Important considerations: your webhook server must be always online (use a cloud service like AWS, DigitalOcean, or Railway), add authentication to your webhook endpoint to prevent unauthorized trade execution, implement rate limiting and validation on incoming alerts, and keep logs of every alert received and trade executed for debugging and tax purposes. Many traders use this approach to automate Pine Script strategies that they have backtested on TradingView, executing them on MEXC zero-fee spot pairs for maximum profitability.

Frequently Asked Questions

Is the MEXC API free to use?

Yes, the MEXC API is completely free to use. There are no API access fees, subscription costs, or per-request charges. You only pay the standard trading fees when executing trades through the API, which for spot trading is 0% (zero fees). This makes MEXC one of the most cost-effective exchanges for algorithmic and bot trading.

Does MEXC API support Binance libraries?

Largely yes. MEXC API follows a Binance-compatible format, so libraries like ccxt, python-binance, and node-binance-api can work with MEXC by changing the base URL and adding MEXC-specific headers. The ccxt library has native MEXC support and is the recommended approach. Some advanced Binance-specific endpoints may differ, so always test with MEXC documentation.

What are the API rate limits on MEXC?

MEXC API rate limits are: 20 requests per second for order-related endpoints (placing, canceling, querying orders), 10 requests per second for other endpoints (market data, account info). If you exceed these limits, you will receive HTTP 429 (Too Many Requests) responses. Implement exponential backoff in your code to handle rate limiting gracefully. WebSocket connections do not have the same rate limits as REST requests.

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