MCP server for Hyperliquid trading perps (github.com)

A new MCP server has been released, enabling AI and language model (LLM) clients, such as Claude, to execute trades on the Hyperliquid perpetuals exchange with direct, signed access. Built using the official Python SDK, the server addresses a critical issue where rejected orders were mistakenly reported as successful. It features robust response parsing for every transaction, ensuring high reliability and accurate reporting on order outcomes, including detailed explanations for any errors encountered. Users simply point their MCP client to the server with their private key, and it handles trading seamlessly, supporting both testnet and mainnet configurations. This development is significant for the AI/ML community as it streamlines the trading process for AI models, enabling complex operations like market data retrieval, order placement, and performance analytics without exposing sensitive private keys. The server offers powerful tools, including real-time order book updates, execution strategies with built-in safety checks, and detailed market indicators. Moreover, it emphasizes a test-driven development approach, allowing traders to validate their strategies in a risk-free environment before moving to real funds. The integration of AI in trading operations could enhance decision-making processes, making it a noteworthy advancement in the intersection of AI technology and financial trading.