Hyperliquid MCP Server

Hyperliquid MCP Server Overview

The Hyperliquid MCP server bridges the gap between AI assistants and real‑time cryptocurrency market data by exposing the Hyperliquid SDK through a set of well‑defined tools. For developers building AI workflows that require up‑to‑date market insights, this server eliminates the need to write custom API wrappers or manage authentication tokens manually. By simply adding the server to a Claude Desktop configuration, assistants can query live mid‑prices, historical candlestick charts, and level‑2 order books with minimal overhead.

At its core, the server offers three primary tools:

• get_all_mids – Returns the current mid‑price for every token listed on Hyperliquid. This is ideal for generating market snapshots, feeding price feeds into trading strategies, or building dashboards that display real‑time liquidity.
• get_candle_snapshot – Retrieves historical candlestick data for any token over a user‑specified interval. Parameters include the coin symbol, time granularity (e.g., 15 minutes or 1 hour), and a start timestamp, with an optional end timestamp. This tool powers technical analysis, back‑testing models, and trend detection.
• get_l2_book – Provides the level‑2 order book for a selected token, exposing bid and ask depths. Developers can use this to simulate market impact, evaluate slippage, or feed depth information into sophisticated execution algorithms.

These capabilities are packaged as HTTP endpoints that Claude can invoke through the MCP protocol, enabling seamless integration into conversational agents. An assistant could, for example, ask a user to “Show me the 1‑hour candles for BTC” and automatically retrieve the data, parse it into a chart, and embed it in the response—all without the developer writing additional code.

Real‑world use cases span from automated trading bots that react to price changes, to financial analysts who need quick access to order book snapshots for risk assessment. Educators can also leverage the server in teaching environments, allowing students to query live market data as part of interactive lessons. Because the Hyperliquid SDK is already battle‑tested, the server inherits robust error handling and rate‑limit management, giving developers confidence in reliability.

In summary, the Hyperliquid MCP server provides a plug‑and‑play interface for cryptocurrency market data within AI workflows. Its straightforward tool set, coupled with the ease of integration into existing MCP‑compatible assistants, makes it a valuable asset for developers seeking to enrich their applications with real‑time financial information.