Hyperliquid Info MCP Server

An MCP server that provides real-time data and insights from the Hyperliquid perp DEX for use in bots, dashboards, and analytics.

Features

• User Data Queries:

  • get_user_state: Fetch user positions, margin, and withdrawable balance for perpetuals or spot markets.

  • get_user_open_orders: Retrieve all open orders for a user account.

  • get_user_trade_history: Get trade fill history with details like symbol, size, and price.

  • get_user_funding_history: Query funding payment history with customizable time ranges.

  • get_user_fees: Fetch user-specific fee structures (maker/taker rates).

  • get_user_staking_summary & get_user_staking_rewards: Access staking details and rewards.

  • get_user_order_by_oid & get_user_order_by_cloid: Retrieve specific order details by order ID or client order ID.

  • get_user_sub_accounts: List sub-accounts associated with a main account.

• Market Data Tools:

  • get_all_mids: Get mid prices for all trading pairs.

  • get_l2_snapshot: Fetch Level 2 order book snapshots for a specific coin.

  • get_candles_snapshot: Retrieve candlestick data with customizable intervals and time ranges.

  • get_coin_funding_history: Query funding rate history for a specific coin.

  • get_perp_dexs: Fetch metadata about perpetual markets (using meta).

  • get_perp_metadata & get_spot_metadata: Get detailed metadata for perpetual and spot markets, with optional asset contexts.

• Analysis Prompt:

  • analyze_positions: A guided prompt to analyze user trading activity using relevant tools.

• ISO 8601 Support: Time-based queries (get_candles_snapshot, get_coin_funding_history, get_user_funding_history) accept ISO 8601 time strings for precise data filtering.

Related MCP server: crypto-liquidations-mcp

Installation

Prerequisites

• Python 3.10: Required by the Hyperliquid Python SDK.

• A valid Hyperliquid account address for user-specific queries.

• uv or pip for package management.

Steps

1. Clone the Repository:

   git clone https://github.com/kukapay/hyperliquid-info-mcp.git
   cd hyperliquid-info-mcp

2. Install Dependencies: Using uv:

   uv sync

Usage

Running the Server

Run the server in development mode with MCP Inspector:

mcp dev main.py

Or install it for use in Claude Desktop:

mcp install main.py --name "Hyperliquid Info"

Example Usage

Using the MCP Inspector or Claude Desktop, you can interact with the server using natural language prompts. Below are examples of how to trigger the analyze_positions prompt and individual tools conversationally.

1. Analyze Trading Positions:

   • Prompt:
     "Please analyze the trading activity for my Hyperliquid account with address 0xYourAddress. Provide insights on my positions, open orders, and recent trades."

   • Behavior:
     This triggers the analyze_positions prompt, which uses get_user_state, get_user_open_orders, get_user_trade_history, get_user_funding_history, and get_user_fees to fetch data and generate a risk/performance analysis.

   • Example Output:

     For account 0xYourAddress:
     - Current Positions: 0.1 BTC long at $50,000, unrealized PNL +$500.
     - Open Orders: 1 limit order to sell 0.05 BTC at $52,000.
     - Recent Trades: Bought 0.1 BTC at $50,000 on 2025-05-30.
     - Funding Payments: Paid $10 in funding fees last week.
     - Fees: Maker fee 0.02%, taker fee 0.05%.
     Recommendation: Monitor BTC price closely due to high leverage.

2. Fetch User State:

   • Prompt:
     "Show me the current state of my Hyperliquid account 0xYourAddress, including my positions and margin details for perpetuals."

   • Behavior:
     Invokes get_user_state(account_address="0xYourAddress", check_spot=False).

   • Example Output:

     {
       "assetPositions": [
         {
           "position": {
             "coin": "BTC",
             "szi": "0.1",
             "entryPx": "50000.0",
             "markPx": "50500.0",
             "unrealizedPnl": "500.0"
           }
         }
       ],
       "marginSummary": {
         "accountValue": "10000.0",
         "totalMarginUsed": "2000.0"
       },
       "withdrawable": "8000.0"
     }

3. Get Candlestick Data:

   • Prompt:
     "Can you get the 1-minute candlestick data for ETH on Hyperliquid from January 1, 2025, to January 2, 2025?"

   • Behavior:
     Invokes get_candles_snapshot(coin_name="ETH", interval="1m", start_time="2025-01-01T00:00:00Z", end_time="2025-01-02T00:00:00Z").

   • Example Output:

     [
       {
         "t": 1672531200000,
         "o": "3000.0",
         "h": "3010.0",
         "l": "2995.0",
         "c": "3005.0",
         "v": "1000.0"
       },
       ...
     ]

4. Check Trade History:

   • Prompt:
     "What are the recent trades for my account 0xYourAddress on Hyperliquid?"

   • Behavior:
     Invokes get_user_trade_history(account_address="0xYourAddress").

   • Example Output:

     [
       {
         "coin": "ETH",
         "px": "3000.0",
         "sz": "0.5",
         "time": 1672531200000,
         "tid": "123456"
       },
       ...
     ]

5. Fetch Market Metadata:

   • Prompt:
     "Tell me about the perpetual markets available on Hyperliquid, including trading pairs."

   • Behavior:
     Invokes get_perp_metadata(include_asset_ctxs=False).

   • Example Output:

     {
       "universe": [
         {
           "name": "BTC-PERP",
           "maxLeverage": 50,
           "szDecimals": 4,
           "tickSz": "0.1"
         },
         ...
       ]
     }

License

This project is licensed under the MIT License.