🟢 Hyperliquid MCP

Control your Hyperliquid perps from Claude (or any MCP client) using natural language.

"What's my BTC PnL?" → Claude fetches your positions and answers in seconds.
"Buy 0.1 ETH at market" → Claude places the order via Hyperliquid API.

Built with the Model Context Protocol — the open standard for connecting AI to external tools.

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✨ Features

Tool	Description
hl_get_all_mids	Prices for all assets
hl_get_orderbook	L2 bids/asks for any asset
hl_get_meta	Market info (leverage, tick size)
hl_get_candles	OHLCV history (1m → 1d)
hl_get_user_state	Positions, equity, margin, PnL
hl_get_open_orders	Active orders
hl_get_fills	Trade history
hl_get_funding_history	Funding rate history
hl_place_order	Place limit or market orders
hl_cancel_order	Cancel specific order
hl_cancel_all_orders	Cancel all orders (optional: by coin)
hl_close_position	Close entire position
hl_set_leverage	Set leverage (cross or isolated)

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🚀 Quick Start

1. Install

pip install hyperliquid-mcp

Or run directly without installing:

uvx hyperliquid-mcp

2. Configure Claude Desktop

Open ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows) and add:

Read-only mode (positions, prices, history — no private key needed):

{
  "mcpServers": {
    "hyperliquid": {
      "command": "uvx",
      "args": ["hyperliquid-mcp"],
      "env": {
        "HL_WALLET_ADDRESS": "0xYourWalletAddressHere"
      }
    }
  }
}

Trading mode (place orders, cancel, close positions):

{
  "mcpServers": {
    "hyperliquid": {
      "command": "uvx",
      "args": ["hyperliquid-mcp"],
      "env": {
        "HL_PRIVATE_KEY": "0xYourPrivateKeyHere"
      }
    }
  }
}

⚠️ Never share your private key. It stays on your machine — this server runs locally via stdio, no data is sent anywhere except Hyperliquid's official API.

3. Restart Claude Desktop and start chatting

What are my open positions?
What's the ETH funding rate this week?
Place a limit order to buy 0.5 SOL at $150

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🔧 Manual Setup (from source)

git clone https://github.com/erscoder/hyperliquid-mcp
cd hyperliquid-mcp
pip install -e .
cp .env.example .env
# Edit .env with your wallet address or private key

Then in claude_desktop_config.json:

{
  "mcpServers": {
    "hyperliquid": {
      "command": "python",
      "args": ["-m", "hyperliquid_mcp"],
      "cwd": "/path/to/hyperliquid-mcp",
      "env": {
        "HL_WALLET_ADDRESS": "0xYourWalletAddressHere"
      }
    }
  }
}

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🔒 Security

• Your keys never leave your machine. The server runs locally via stdio transport.
• Read-only by default. Set only HL_WALLET_ADDRESS if you don't want trading enabled.
• Trading requires HL_PRIVATE_KEY. Without it, all trading tools return an error.
• Use a dedicated trading wallet with limited funds for extra safety.

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🤖 Use in AI Agents

MCP is not just for chat clients. Use hyperliquid-mcp as the trading layer inside any autonomous agent.

LangChain / LangGraph

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
    "hyperliquid": {
        "command": "uvx",
        "args": ["hyperliquid-mcp"],
        "transport": "stdio",
        "env": {"HL_WALLET_ADDRESS": "0xYourWallet"}
    }
})

tools = await client.get_tools()
# tools now includes hl_get_user_state, hl_get_orderbook, etc.
# Pass them to any LangChain agent or LangGraph node

CrewAI

from crewai import Agent
from crewai_tools import MCPTool

hl_tools = MCPTool.from_server(
    command="uvx",
    args=["hyperliquid-mcp"],
    env={"HL_WALLET_ADDRESS": "0xYourWallet"}
)

trader = Agent(
    role="Trading Analyst",
    goal="Monitor Hyperliquid positions and funding rates",
    tools=hl_tools
)

Custom agent (MCP Python SDK)

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

server_params = StdioServerParameters(
    command="uvx",
    args=["hyperliquid-mcp"],
    env={"HL_WALLET_ADDRESS": "0xYourWallet"}
)

async with stdio_client(server_params) as (read, write):
    async with ClientSession(read, write) as session:
        await session.initialize()
        result = await session.call_tool("hl_get_user_state", {})
        print(result.content)

Agent ideas:

• Portfolio monitor that alerts when funding rates spike above threshold
• Risk manager that auto-closes positions when drawdown exceeds limit
• Arbitrage scanner comparing funding across assets
• Morning briefing agent that summarizes overnight PnL and open positions

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💬 Other MCP Clients

Works with any MCP-compatible client:

• Claude Desktop — see Quick Start above
• VS Code (Copilot) — add to .vscode/mcp.json
• Cursor — add to MCP settings
• Continue.dev — add to config

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📄 License

MIT — free to use, fork, and contribute.

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