CCXT MCP Server bridges the gap between AI models and cryptocurrency trading by providing a standardized interface through the Model Context Protocol. Created to empower automated trading strategies, this tool allows AI assistants like Claude and GPT to directly interact with over 100 cryptocurrency exchanges without requiring users to write comple

What is lazy dinosaur ccxt mcp

CCXT MCP Server

*npm version* *npm downloads* *GitHub stars* *License: MIT*

한국어 버전(Korean version)

CCXT MCP Server is a server that allows AI models to interact with cryptocurrency exchange APIs through the Model Context Protocol (MCP). This server uses the CCXT library to provide access to more than 100 cryptocurrency exchanges and their trading capabilities.

🚀 Quick Start

# Install the package globally
npm install -g @lazydino/ccxt-mcp

# Run with default settings
ccxt-mcp

# or run without installation
npx @lazydino/ccxt-mcp

Installation and Usage

Global Installation

# Install the package globally
npm install -g @lazydino/ccxt-mcp

Running with npx

You can run it directly without installation:

# Using default settings
npx @lazydino/ccxt-mcp

# Using custom configuration file
npx @lazydino/ccxt-mcp --config /path/to/config.json

View help:

npx @lazydino/ccxt-mcp --help

Configuration

Registering the MCP Server in Claude Desktop

  1. Open Claude Desktop Settings:

    • Go to the Settings menu in the Claude Desktop app
    • Find the "MCP Servers" section
  2. Add a New MCP Server:

    • Click the "Add Server" button
    • Server name: ccxt-mcp
    • Command: npx @lazydino/ccxt-mcp
    • Additional arguments (optional): --config /path/to/config.json
  3. Save and Test the Server:

    • Save the settings
    • Test the connection with the "Test Connection" button

Configuration Methods - Two Options

Option 1: Include Account Information Directly in Claude Desktop Settings (Basic Method)

This method includes CCXT account information directly in the Claude Desktop settings file (claude_desktop_config.json):

{
  "mcpServers": {
    "ccxt-mcp": {
      "command": "npx",
      "args": ["-y", "@lazydino/ccxt-mcp"],
      "accounts": [
        {
          "name": "bybit_main",
          "exchangeId": "bybit",
          "apiKey": "YOUR_API_KEY",
          "secret": "YOUR_SECRET_KEY",
          "defaultType": "spot"
        },
        {
          "name": "bybit_futures",
          "exchangeId": "bybit",
          "apiKey": "YOUR_API_KEY",
          "secret": "YOUR_SECRET_KEY",
          "defaultType": "swap"
        }
      ]
    }
  }
}

Using this method, you don't need a separate configuration file. All settings are integrated into the Claude Desktop configuration file.

Option 2: Using a Separate Configuration File (Advanced Method)

To separate account information into a separate configuration file, set up as follows:

  1. Create a Separate Configuration File (e.g., ccxt-accounts.json):
{
  "accounts": [
    {
      "name": "bybit_main",
      "exchangeId": "bybit",
      "apiKey": "YOUR_API_KEY",
      "secret": "YOUR_SECRET_KEY",
      "defaultType": "spot"
    },
    {
      "name": "bybit_futures",
      "exchangeId": "bybit",
      "apiKey": "YOUR_API_KEY",
      "secret": "YOUR_SECRET_KEY",
      "defaultType": "swap"
    }
  ]
}

Important: The configuration file must contain an accounts array at the root level, as shown above.

  1. Specify the Configuration File Path in Claude Desktop Settings:
{
  "mcpServers": {
    "ccxt-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@lazydino/ccxt-mcp",
        "--config",
        "/path/to/ccxt-accounts.json"
      ]
    }
  }
}

Note: When using a separate configuration file with the --config option, the server will look for the accounts array directly in the root of the JSON file, not in mcpServers.ccxt-mcp.accounts path.

  1. Running with External Configuration File from Command Line:
# Using custom configuration file
npx @lazydino/ccxt-mcp --config /path/to/ccxt-accounts.json

You can find an example configuration file at examples/config-example.json in the repository.

Reasons to Use a Separate Configuration File:

  • Prevents recursive reference issues
  • Separates sensitive information like API keys
  • Easier multi-environment configuration (development, testing, production)
  • Improved configuration file version control

Key Features

  • Market Information Retrieval:

    • List exchanges
    • View market information by exchange
    • Get price information for specific symbols
    • View order book information for specific symbols
    • Search historical OHLCV data
  • Trading Functions:

    • Create market/limit orders
    • Cancel orders and check status
    • View account balances
    • Check trading history
  • Trading Analysis:

    • Daily/weekly/monthly performance analysis
    • Win rate calculation (last 7 days, 30 days, all time)
    • Average profit/loss ratio (R-multiple)
    • Maximum consecutive loss/profit series analysis
    • Asset variation tracking
    • Comprehensive performance metrics
    • Trade pattern recognition
    • Period-based return calculations
  • Position Management:

    • Capital ratio trading (e.g., enter with 5% of account capital)
    • Futures market leverage setting (1-100x)
    • Dynamic position sizing (volatility-based)
    • Split buy/sell strategy implementation
  • Risk Management:

    • Technical indicator-based stop loss setting (e.g., lowest point among 10 candles on 5-minute chart)
    • Volatility-based stop loss/take profit (ATR multiples)
    • Maximum allowable loss limit (daily/weekly)
    • Dynamic take profit setting (trailing profit)

How It Works

User <--> AI Model(Claude/GPT) <--> MCP Protocol <--> CCXT MCP Server <--> Cryptocurrency Exchange API
  1. User: Requests like "Tell me the Bitcoin price" or "Buy Ethereum on my Binance account"
  2. AI Model: Understands user requests and determines which MCP tools/resources to use
  3. MCP Protocol: Standardized communication between AI and CCXT MCP server
  4. CCXT MCP Server: Communicates with cryptocurrency exchange APIs using the CCXT library
  5. Exchange API: Provides actual data and executes trade orders

Using with AI Models

When registered with Claude Desktop, you can make the following types of requests to AI models:

Cautions and Recommended Prompts

When using AI models, consider the following cautions and use the prompt below for effective trading:

Your goal is to execute trades using the ccxt tools as much as possible
Cautions:
- Accurately identify whether it's a futures market or spot market before proceeding with trades
- If there's no instruction about percentage of capital or amount to use, always calculate and execute trades using the entire available capital

Notes:

  • AI models sometimes confuse futures trading with spot trading.
  • Without clear guidance on trading capital size, AI might get confused.
  • Using the above prompt helps clearly communicate your trading intentions.

Basic Query Examples

Check and compare the current Bitcoin price on binance and coinbase.

Advanced Trading Query Examples

Position Management

Open a long position on BTC/USDT futures market in my Bybit account (bybit_futures) with 5% of capital using 10x leverage.
Enter based on moving average crossover strategy and set stop loss at the lowest point among the 12 most recent 5-minute candles.

Performance Analysis

Analyze my Binance account (bybit_main) trading records for the last 7 days and show me the win rate, average profit, and maximum consecutive losses.

Detailed Trading Analytics

Analyze my trading performance on the bybit_futures account for BTC/USDT over the last 30 days. Calculate win rate, profit factor, and identify any patterns in my winning trades.
Show me the monthly returns for my bybit_main account over the past 90 days and identify my best and worst trading months.
Analyze my consecutive wins and losses on my bybit_futures account and tell me if I have any psychological patterns affecting my trading after losses.

Development

Building from Source

# Clone repository
git clone https://github.com/lazy-dinosaur/ccxt-mcp.git

# Navigate to project directory
cd ccxt-mcp

# Install dependencies
npm install

# Build
npm run build

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

Distributed under the MIT License. See the LICENSE file for more information.

❤️ Support

If you find this project useful, please consider giving it a ⭐️ on GitHub!

Leave a Comment

Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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