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Hyperliquid MCP Server

MCP Server

Full-featured AI trading interface for Hyperliquid

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Updated Sep 24, 2025

About

A comprehensive MCP server that wraps the Hyperliquid SDK, exposing spot and futures trading APIs—including market data, order placement, position management, account info, and more—to AI assistants for seamless crypto trading.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Tradingbalthazar Hyperliquid MCP Server V9 transforms the powerful, low‑latency trading capabilities of the Hyperliquid exchange into a ready‑to‑use Model Context Protocol (MCP) service. By exposing every public API of the Hyperliquid SDK—spanning spot, futures, market data, account management, and more—the server enables AI assistants to act as fully fledged trading bots without any custom integration work. Developers can therefore focus on strategy logic and user experience while the MCP server handles authentication, request routing, error handling, and protocol compliance.

At its core, the server solves a common pain point for AI‑driven finance applications: seamless, secure access to real‑time market data and execution controls. Traditional trading libraries require developers to write boilerplate code for signing requests, managing websockets, and translating SDK responses into a format consumable by an AI model. The Hyperliquid MCP Server eliminates this friction by providing a single, declarative endpoint that maps directly to the underlying SDK functions. This means an AI assistant can request a price feed, place a limit order, or query open positions with a single, well‑structured MCP call.

Key capabilities include:

  • Full API coverage: Spot and perpetual futures trading, order book snapshots, candle data, funding rates, vaults, sub‑accounts, and referral integrations.
  • Robust authentication: Support for both private key signing and wallet address verification, ensuring secure access to user accounts on testnet or mainnet.
  • Real‑time data: Live market feeds and order status updates are exposed through the MCP, allowing AI assistants to react instantly to price movements.
  • Order management flexibility: Clients can place, cancel, modify, or track orders using standard identifiers (cloid) and specialized order types such as TWAP.
  • Comprehensive account insight: Retrieve balances, leverage settings, margin allocations, and historical fills to inform strategy decisions.

Real‑world scenarios where this server shines include:

  • Automated arbitrage bots that need instant price data across multiple venues and the ability to execute cross‑exchange trades within milliseconds.
  • Portfolio rebalancing assistants that monitor exposure, adjust leverage, and rebalance assets in response to market volatility.
  • Risk‑management tools that track funding payments, margin levels, and open positions to prevent liquidation.
  • Educational platforms where students can experiment with live trading in a sandboxed environment, all mediated by an AI tutor.

Integration into existing AI workflows is straightforward. An MCP‑compatible assistant simply declares the desired operation (e.g., ) and supplies the required parameters. The server validates, signs, and forwards the request to Hyperliquid, then returns a structured response. This plug‑and‑play model eliminates the need for custom SDK wrappers, reduces latency, and guarantees that all interactions adhere to Hyperliquid’s security and rate‑limit policies.

In summary, the Tradingbalthazar Hyperliquid MCP Server V9 delivers a complete, secure, and developer‑friendly bridge between AI assistants and the Hyperliquid exchange. By abstracting away protocol intricacies while exposing every trading feature, it empowers developers to build sophisticated financial applications that can trade, analyze, and learn from real market data—all through a unified MCP interface.