Cryptocurrency Market Data MCP Server

A Model Context Protocol (MCP) server that provides real-time and historical cryptocurrency market data through integration with major exchanges. This server enables LLMs like Claude to fetch current prices, analyze market trends, and access detailed trading information.

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Features

• Real-time Market Data

  • Current cryptocurrency prices
  • Market summaries with bid/ask spreads
  • Top trading pairs by volume
  • Multiple exchange support

• Historical Analysis

  • OHLCV (candlestick) data
  • Price change statistics
  • Volume history tracking
  • Customizable timeframes

• Exchange Support

  • Binance
  • Coinbase
  • Kraken
  • KuCoin
  • HyperLiquid
  • Huobi
  • Bitfinex
  • Bybit
  • OKX
  • MEXC

Technical Details

Dependencies

• mcp: Model Context Protocol SDK
• ccxt: Cryptocurrency Exchange Trading Library
• Python 3.9 or higher

Architecture

The server uses:

• CCXT's async support for efficient exchange communication
• MCP's tool system for LLM integration
• Standardized data formatting for consistent outputs
• Connection pooling for optimal performance

Error Handling

The server implements robust error handling for:

• Invalid trading pairs
• Exchange connectivity issues
• Rate limiting
• Malformed requests
• Network timeouts

Development

Running Tests

# To be implemented
pytest tests/

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

Local Development

# Clone the repository
git clone [repository-url]
cd crypto-mcp-server

# Install dependencies
uv pip install -e .

License

MIT License - See LICENSE file for details

Acknowledgments

• CCXT for exchange integrations
• Model Context Protocol for the MCP specification
• The cryptocurrency exchanges for providing market data APIs

Installation

Installing via Smithery

To install Cryptocurrency Market Data Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-server-ccxt --client claude

Installing Manually

# Using uv (recommended)
uv pip install mcp ccxt

# Using pip
pip install mcp ccxt

Usage

Running the Server

python crypto_server.py

Connecting with Claude Desktop

1. Open your Claude Desktop configuration at:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add the server configuration:

{
    "mcpServers": {
        "crypto": {
            "command": "python",
            "args": ["/path/to/crypto_server.py"]
        }
    }
}

3. Restart Claude Desktop

Available Tools

1. get-price

   • Get current price for any trading pair
   • Example: "What's the current price of BTC/USDT on Binance?"

2. get-market-summary

   • Fetch detailed market information
   • Example: "Show me a market summary for ETH/USDT"

3. get-top-volumes

   • List top trading pairs by volume
   • Example: "What are the top 5 trading pairs on Kraken?"

4. list-exchanges

   • Show all supported exchanges
   • Example: "Which exchanges are supported?"

5. get-historical-ohlcv

   • Get historical candlestick data
   • Example: "Show me the last 7 days of BTC/USDT price data in 1-hour intervals"

6. get-price-change

   • Calculate price changes over different timeframes
   • Example: "What's the 24-hour price change for SOL/USDT?"

7. get-volume-history

   • Track trading volume over time
   • Example: "Show me the trading volume history for ETH/USDT over the last week"

Example Queries

Here are some example questions you can ask Claude once the server is connected:

- What's the current Bitcoin price on Binance?
- Show me the top 5 trading pairs by volume on Coinbase
- How has ETH/USDT performed over the last 24 hours?
- Give me a detailed market summary for SOL/USDT on Kraken
- What's the trading volume history for BNB/USDT over the last week?

Troubleshooting

Common Issues

1. Exchange Connection Errors

   • Check your internet connection
   • Verify the exchange is operational
   • Ensure the trading pair exists on the selected exchange

2. Rate Limiting

   • Implement delays between requests
   • Use different exchanges for high-frequency queries
   • Check exchange-specific rate limits

3. Data Formatting Issues

   • Verify trading pair format (e.g., BTC/USDT, not BTCUSDT)
   • Check timeframe specifications
   • Ensure numerical parameters are within valid ranges