Hyperliquid Info MCP Server
@kukapay
About 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.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"hyperliquid-info-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tools
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Overview
What is Hyperliquid Info MCP Server?
An MCP (Model Context Protocol) server that provides real-time data and insights from the Hyperliquid perpetual DEX (decentralized exchange) for use in bots, dashboards, and analytics. It is aimed at developers and traders who want to programmatically query Hyperliquid user data, market data, and perform analysis.
How to use Hyperliquid Info MCP Server?
Clone the repository, install dependencies with uv sync (Python 3.10+ required), then run the server in development mode via mcp dev main.py or install it for Claude Desktop with mcp install main.py --name "Hyperliquid Info". Interact using natural language prompts in MCP Inspector or Claude Desktop, invoking specific tools like get_user_state, get_candles_snapshot, or the analyze_positions prompt.
Key features of Hyperliquid Info MCP Server
- Query user positions, margin, and withdrawable balance
- Retrieve open orders, trade history, and funding payments
- Access staking details and rewards
- Get mid prices, L2 order book snapshots, and candlestick data
- Fetch perpetual and spot market metadata
- Guided analysis prompt for trading activity
Use cases of Hyperliquid Info MCP Server
- Build trading bots that monitor user positions and market conditions
- Create dashboards showing real-time Hyperliquid account stats
- Analyze trading performance and risk for a given account
- Access historical funding and candle data for research
- Integrate Hyperliquid data into automated notification systems
FAQ from Hyperliquid Info MCP Server
What data does Hyperliquid Info MCP Server provide?
It provides two categories of data: user-specific data (positions, orders, trades, funding, staking, fees) and market data (mid prices, order book snapshots, candlesticks, funding rates, market metadata). It also includes an analysis prompt to combine user data for insights.
What are the prerequisites to use the server?
Python 3.10 or higher is required, along with a valid Hyperliquid account address for user-specific queries. Package management can be done with uv or pip.
How do I run the server?
You can run it in development mode using mcp dev main.py or install it for Claude Desktop with mcp install main.py --name "Hyperliquid Info". The server uses the MCP Inspector for testing.
What transports or authentication does it use?
The server runs as a standard MCP server (stdio transport) and does not require authentication for market data queries. User-specific queries require a Hyperliquid account address as a parameter. No API keys are mentioned.
Is there a license for this project?
Yes, the project is licensed under the MIT License.
Frequently asked questions
What data does Hyperliquid Info MCP Server provide?
It provides two categories of data: user-specific data (positions, orders, trades, funding, staking, fees) and market data (mid prices, order book snapshots, candlesticks, funding rates, market metadata). It also includes an analysis prompt to combine user data for insights.
What are the prerequisites to use the server?
Python 3.10 or higher is required, along with a valid Hyperliquid account address for user-specific queries. Package management can be done with `uv` or `pip`.
How do I run the server?
You can run it in development mode using `mcp dev main.py` or install it for Claude Desktop with `mcp install main.py --name "Hyperliquid Info"`. The server uses the MCP Inspector for testing.
What transports or authentication does it use?
The server runs as a standard MCP server (stdio transport) and does not require authentication for market data queries. User-specific queries require a Hyperliquid account address as a parameter. No API keys are mentioned.
Is there a license for this project?
Yes, the project is licensed under the MIT License.
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