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  1. Home
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  3. Hyperliquid Info MCP
Hyperliquid Info MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 4:49:37 PM

Hyperliquid Info MCP

User RatingsBe the first to rate and review this MCP server!
View Repository29 GitHub StarsTotal stargazers on GitHub for the source repository (29 stars).Visit Website
financeperpetualsdexmarket-datatrading

Provides real-time data and insights from the Hyperliquid perpetual DEX for bots, dashboards, and analytics.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for kukapay/hyperliquid-info-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

This MCP server delivers detailed user account data, market data, and trading insights from the Hyperliquid perpetual decentralized exchange. It supports queries for user positions, open orders, trade and funding histories, fees, staking info, and market metadata. Use it to build trading bots, dashboards, or analytics tools that require up-to-date perp DEX data with ISO 8601 time filtering support.

Use cases

β€’Fetch user positions, margin, and withdrawable balances
β€’Retrieve open orders and trade histories for accounts
β€’Query candlestick and order book snapshots for market analysis
β€’Analyze user trading activity and generate risk/performance summaries
β€’Access funding payment and fee structures for user accounts

Key features

β€’User-specific queries for positions, orders, trades, funding, fees, and staking
β€’Market data including mid prices, L2 order book snapshots, and candlestick data
β€’Metadata retrieval for perpetual and spot markets
β€’ISO 8601 time string support for precise time-based queries
β€’Analysis prompt to summarize user trading activity

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Hyperliquid Info MCP.

Extracted Tool Capabilities
User-specific queries for positions, orders, trades, funding, fees, and staking
Market data including mid prices, L2 order book snapshots, and candlestick data
Metadata retrieval for perpetual and spot markets
ISO 8601 time string support for precise time-based queries
Analysis prompt to summarize user trading activity

Documentation Overview

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.

GitHub License Python Version Status

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.

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:

    bash
    git clone https://github.com/kukapay/hyperliquid-info-mcp.git
    cd hyperliquid-info-mcp
    
  2. Install Dependencies: Using uv:

    bash
    uv sync
    

Usage

Running the Server

Run the server in development mode with MCP Inspector:

bash
mcp dev main.py

Or install it for use in Claude Desktop:

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

License

This project is licensed under the MIT License.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
29
Stargazers on the source repository.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Hyperliquid Info MCP

You can query user positions, open orders, trade history, funding payments, fees, staking summaries, and sub-accounts.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedAug 9, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars29
GitHub Star CountTotal stargazers on GitHub representing community popularity (29 stars).
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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