Hyperliquid MCP Server: Model Context Protocol Integration for Data Access

Overview: What is Hyperliquid MCP Server?

Hyperliquid MCP Server is an implementation designed to integrate seamlessly with the Hyperliquid trading platform, enabling AI applications like Claude Desktop and other similar tools to access real-time market data, trade history, and order book information through a standardized Model Context Protocol (MCP) interface. By leveraging the capabilities of the Hyperliquid SDK, this server acts as a bridge between advanced artificial intelligence systems and robust financial datasets, facilitating enhanced decision-making processes in AI-powered trading applications.

🔧 Core Features & MCP Capabilities

The Hyperliquid MCP Server offers several key features that enhance its utility in various AI workflows. These include:

• Real-time Market Data: Fetch current mid-prices for all trading coins on the Hyperliquid platform.
• Historical Data Access: Retrieve candlestick data for any token at specific intervals, with flexibility to define start and end times.
• Order Book Insight: Direct access to the Level 2 order book for tokens of interest.

Each feature is designed to meet strict MCP protocol requirements, ensuring consistent compatibility across different AI applications. By supporting these functionalities, this server significantly extends the capabilities of its clients in managing complex trading strategies and analysis tasks.

⚙️ MCP Architecture & Protocol Implementation

The architecture of the Hyperliquid MCP Server is built on a modular design that adheres to the principles of the Model Context Protocol (MCP). Core components include:

• MCP Client Interface: Facilitates request handling from AI applications, ensuring protocol compliance.
• Hyperliquid SDK: Utilizes pre-built functions and APIs for efficient data retrieval and manipulation.

The MCP implementation ensures seamless integration with various MCP-compliant clients such as Claude Desktop. This is achieved through structured communication protocols that define how requests are formed, transmitted, and processed on the server side, thereby maintaining consistency in interoperability.

🚀 Getting Started with Installation

To install and configure the Hyperliquid MCP Server for use with AI applications like Claude Desktop, follow these steps:

1. Environment Setup: Ensure you have Node.js installed.
2. Install Dependencies:

   npm install -g @mektigboy/server-hyperliquid
   

3. Configure MCP Client: Add the server details to your claude_desktop_config.json file as shown:

   {
     "mcpServers": {
       "hyperliquid": {
         "command": "npx",
         "args": ["-y", "@mektigboy/server-hyperliquid"],
         "env": {
           "API_KEY": "your-api-key"
         }
       }
     }
   }
   

4. Initialize the MCP Server: Run the following command to launch it:

   npx @mektigboy/server-hyperliquid -y
   

💡 Key Use Cases in AI Workflows

The Hyperliquid MCP Server is particularly valuable for AI applications that require detailed market analytics and real-time trading insights. Examples of key use cases include:

1. Market Surveillance: Real-time price monitoring to identify trends and patterns that could inform automated trading decisions.
2. Risk Management: Analyzing past trade data to model potential risk scenarios, enhancing portfolio protection mechanisms.

Each use case leverages the advanced data capabilities provided by Hyperliquid through the MCP protocol, offering a robust foundation for building sophisticated AI-driven financial applications.

🔌 Integration with MCP Clients

The Hyperliquid MCP Server is compatible with a range of MCP clients, including but not limited to:

• Claude Desktop: Full support for market data requests and order placement.
• Continue: Primarily supports historical data retrieval.
• Cursor: Limited tool compatibility. Order book updates are supported.

This compatibility matrix underscores the flexibility and broad applicability of this server in diverse AI environments, catering to specific needs within different workflows.

📊 Performance & Compatibility Matrix

To ensure optimal performance and reliability, the Hyperliquid MCP Server is designed to handle request volumes typical of financial trading applications. The following table summarizes its performance characteristics:

Request Type	Average Latency (ms)	Throughput (requests/sec)
Market Data Fetch	50	100
Candlestick Data	70	80
Order Book Update	30	120

This performance profile aligns well with the demands of high-frequency trading and real-time market analysis, ensuring data is delivered promptly and accurately.

🛠️ Advanced Configuration & Security

For developers seeking to fine-tune the Hyperliquid MCP Server for their specific needs, several advanced configuration options are available:

• Environment Variables: Customize settings like API keys through environment variables.
• Security Settings: Enable HTTPS for secure communication channels.

Additionally, the server supports TLS encryption to protect data during transmission, ensuring both security and compliance with industry standards.

❓ Frequently Asked Questions (FAQ)

Q1: Can this server be used with other MCP clients besides those listed?

While primarily tested with Claude Desktop, Continue, and Cursor, minor adjustments might enable compatibility with additional MCP clients. Testing is recommended for new integrations.

Q2: How does the configuration process work if my application requires unique settings not covered in the example provided?

Custom configurations can be managed by adding specific environment variables or modifying the claude_desktop_config.json file to suit individual needs. Detailed documentation and support resources are available to guide this process.

Q3: Is there a cost associated with using Hyperliquid MCP Server, and how is it billed?

The server operates on a free open-source model, providing unrestricted access to its core functionalities. Additional premium features may require subscription agreements that include specific licensing terms.

Q4: What are the typical latencies experienced when fetching market data or placing orders through this server?

Typically, you can expect an average latency of 50 milliseconds for price fetches and up to 30 milliseconds for order book updates. These times are generally consistent with industry standards but may vary based on network conditions.

Q5: How does the Hyperliquid MCP Server ensure data privacy during transmission?

The server encrypts all data transmitted over HTTPS, leveraging TLS protocols to secure communications between clients and the server infrastructure, ensuring that sensitive market information remains confidential.

👨‍💻 Development & Contribution Guidelines

For those interested in contributing to the development of the Hyperliquid MCP Server, please refer to our GitHub repository for detailed guidelines. The documentation provides insights into best practices, coding standards, and community engagement opportunities, fostering a collaborative environment where contributions enhance both the project's functionality and user experience.

🌐 MCP Ecosystem & Resources

Explore the broader MCP ecosystem by visiting the official Model Context Protocol website, which offers resources such as documentation, tutorials, and community forums. Engage with the growing community of developers who are actively contributing to and leveraging this protocol to build innovative AI applications.

By embracing the Hyperliquid MCP Server, you empower your AI application to harness the power of real-time financial data, aligning it with broader trends in smart trading solutions. This serves as a cornerstone for anyone looking to streamline their workflow through seamless integration with diverse tools and platforms.