CCXT-MCP provides a bridge between the CCXT cryptocurrency trading library and AI assistants through the Model Context Protocol, enabling natural language interactions with over 100 cryptocurrency exchanges. This TypeScript implementation exposes core functionality for retrieving exchange information, market data, orderbooks, and price information, making it ideal for traders and developers who want to monitor cryptocurrency markets, analyze price trends, or build trading bots with AI assistance. The server supports Node.js environments and is designed to be easily integrated into existing trading systems.
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Highlight AIRetrieve a list of all available cryptocurrency exchanges.
Get market information for a specific exchange.
Obtain the current price information for a specific symbol.
Fetch order book information for a specific symbol.
Search for historical OHLCV (Open, High, Low, Close, Volume) data.
Place a market order for a specific trading pair.
Place a limit order for a specific trading pair.
Cancel an existing order and check its status.
Retrieve the current account balances.
View the trading history of the account.
Analyze daily performance metrics.
Analyze weekly performance metrics.
Analyze monthly performance metrics.
Calculate the win rate over specified time frames (last 7 days, 30 days, all time).
Calculate the average profit/loss ratio (R-multiple).
Analyze the maximum consecutive loss/profit series.
Track variations in asset values over time.
Generate comprehensive metrics for performance evaluation.
Recognize patterns in trading behavior.
Calculate returns based on specified time periods.
Set a capital ratio for trading (e.g., enter with 5% of account capital).
Set leverage for futures trading (1-100x).
Adjust position sizes based on market volatility.
Implement a strategy for splitting buy and sell orders.
Set stop loss based on technical indicators (e.g., lowest point among last 10 candles).
Set stop loss/take profit levels based on volatility (ATR multiples).
Define a maximum allowable loss limit (daily/weekly).
Implement a dynamic take profit strategy (trailing profit).
