Frequently Asked Questions (FAQ) about UBOS Hyperliquid MCP Server v9

Q: What is an MCP Server? A: MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

Q: What is the Hyperliquid MCP Server v9? A: The Hyperliquid MCP Server v9 is a comprehensive wrapper around the Hyperliquid SDK, exposing the full range of trading capabilities for both spot and futures markets to AI assistants.

Q: What are the key features of the Hyperliquid MCP Server v9? A: Key features include comprehensive API coverage, proper authentication using private key and wallet address, comprehensive error handling and validation, real-time market data access, and support for both testnet and mainnet.

Q: What APIs are included in the Hyperliquid MCP Server v9? A: The server includes a wide range of APIs for market data retrieval, account information, order management, position management, transfer and withdrawal, vault management, sub-account management, and more.

Q: How does the server handle market orders since Hyperliquid doesn’t have a direct market order endpoint? A: The server implements market orders as aggressive limit orders with Immediate-or-Cancel (IOC) time-in-force, applying a slippage factor to the current price to ensure execution.

Q: How does the server handle authentication? A: The server implements authentication using both private key and wallet address, ensuring that only authorized AI agents can access the Hyperliquid exchange.

Q: What are the prerequisites for running the server? A: The prerequisites include Node.js (v14 or higher), a Hyperliquid account, an Ethereum private key for authentication, and your wallet address.

Q: How can I configure the server? A: The server can be configured using environment variables or a configuration file.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

Q: What security considerations should I keep in mind when using the server? A: You should always secure your private key, use testnet first, and limit access to the MCP server to trusted AI assistants and applications.