Empower AI models and chat clients to interact with Hyperliquid perpetuals using natural language.
Sponsored
Hyperliquid-MCP serves as a bridge, enabling large language models like Claude to manage Hyperliquid perpetuals through natural language commands. It connects AI clients to the Hyperliquid API via the Model Context Protocol, allowing users to effortlessly query market data, monitor positions, track PnL, and execute trades such as placing or canceling orders and setting leverage. Designed for security, it runs locally and supports both read-only and full trading modes, making it ideal for building sophisticated AI trading agents and personalized portfolio managers.
Key Features
010 GitHub stars
02Fetch real-time prices, order books, and market metadata for all assets.
03Close entire positions and adjust leverage settings (cross or isolated).
04Access detailed user state, including positions, equity, margin, and PnL.
05Place, cancel, and manage limit or market orders.
06Retrieve OHLCV candle data and funding rate history.
Use Cases
01Develop AI agents that monitor Hyperliquid portfolios and alert on significant funding rate spikes.
02Build personal assistants that provide morning briefings summarizing overnight PnL and open positions on Hyperliquid.
03Implement risk management agents that automatically close positions when drawdown limits are exceeded.
