Binance MCP Server

# Binance MCP Server - Technical Summary ## Overview The Binance MCP Server is a Model Context Protocol (MCP) implementation that provides cryptocurrency market data from the Binance exchange. This server acts as a bridge between Binance's API endpoints and Large Language Model (LLM) agents, allowing them to access real-time and historical market data through a standardized interface. ## Architecture The server follows a modular design pattern with clear separation of concerns: 1. **API Interaction Layer**: Handles direct communication with Binance's REST and WebSocket APIs 2. **MCP Tool Layer**: Exposes the API functionality as MCP tools and resources 3. **Server Layer**: Manages MCP protocol communication, authentication, and client connections ### API Interaction Layer The core API interaction is split into two modules: - **`binance_api.py`**: Handles REST API calls to fetch market data, providing a clean interface and error handling - **`binance_ws_api.py`**: Manages WebSocket connections for real-time data streams, including connection lifecycle, reconnects, and message processing These modules abstract away the complexities of HTTP requests, WebSocket protocols, and error handling, allowing the rest of the application to work with simple, typed Python functions. ### MCP Tool Layer The MCP tools are organized into command modules by functionality: - **`commands/market_data.py`**: Commands for retrieving price, order book, and historical data - **`commands/market_info.py`**: Commands for exchange metadata and information - **`commands/websocket_streams.py`**: Commands for managing WebSocket stream subscriptions Each command module follows the same pattern: 1. Import the FastMCP decorator for tool registration 2. Define a `register_X_commands(mcp)` function 3. Implement individual tool functions decorated with `@mcp.tool()` 4. Call the appropriate API functions and return results in a standardized format ### Server Layer The server is implemented using FastMCP, which handles: - MCP protocol compliance - Tool/resource registration - Client connections via STDIO or SSE ## REST API Implementation The REST API implementation provides access to Binance's market data endpoints: - **Endpoint Mapping**: Each Binance endpoint is mapped to a corresponding Python function in `binance_api.py` - **Error Handling**: All API responses include proper error handling with descriptive error messages - **Type Conversion**: Numeric values from the API are converted to appropriate Python types - **Parameter Validation**: Endpoint parameters are validated before making requests ## WebSocket Implementation The WebSocket functionality is implemented using a robust connection management system: ### Connection Management - **BinanceWebSocketManager**: Core class managing WebSocket connections and subscriptions - **Connection Pooling**: Reuses connections where appropriate to minimize resources - **Automatic Reconnection**: Handles connection failures and attempts to reconnect - **Ping/Pong Handling**: Responds to Binance's keepalive messages automatically ### Subscription Management - **Stream Mapping**: Maps stream names to connection IDs and callbacks - **Combined Streams**: Supports Binance's combined stream format for efficient connections - **Message Processing**: Dispatches incoming messages to the appropriate callbacks ### Data Handling - **Event-driven Architecture**: Uses async callbacks to process incoming WebSocket messages - **Message Queue**: Maintains a bounded queue of recent messages for each stream - **Latest Data Cache**: Keeps track of the most recent data for each active subscription ## MCP Integration The MCP integration exposes the Binance API capabilities as tools: - **Tool Definition**: Each API function is exposed as an MCP tool with appropriate docstrings - **Parameter Handling**: Tool parameters are passed directly to the underlying API functions - **Async Support**: Long-running operations use asyncio for non-blocking execution - **Error Formatting**: API errors are formatted appropriately for MCP clients ## Future Enhancements Planned technical enhancements include: 1. **Authentication Implementation**: Support for private API endpoints using API keys 2. **Caching Layer**: Implement intelligent caching to reduce API calls and respect rate limits 3. **Resource Exposures**: Convert appropriate data endpoints to MCP resources for observability 4. **Enhanced WebSocket Stability**: Improve reconnection strategies and error recovery 5. **Performance Optimization**: Optimize WebSocket message processing for high-volume streams ## Technical Considerations ### Rate Limiting Binance imposes rate limits on API requests, which are handled as follows: - REST API calls use individual requests with proper error handling - WebSocket connections use efficient connection pooling and combined streams - Future implementations will include rate limit tracking and throttling ### WebSocket Connection Lifecycle WebSocket connections in Binance have a 24-hour maximum lifetime, which is managed by: - Tracking connection creation time - Automatic cleanup of stale connections - Graceful reconnection strategies ### Data Consistency To ensure data consistency, the server: - Validates all incoming data against expected schemas - Converts string numeric values to appropriate Python types - Maintains a standardized output format for API results - Handles WebSocket reconnections without data loss ### Security Considerations While currently implementing only public endpoints, the server architecture is designed with security in mind: - Clean separation between API interaction and business logic - No persistent storage of sensitive information - Proper error handling to prevent information leakage - Ready for future integration of authentication mechanisms