Hyperliquid MCP Server

The Hyperliquid MCP Server bridges the gap between conversational AI and live cryptocurrency trading data. By exposing a single, well‑defined tool——it lets Claude (or any MCP‑compatible assistant) query the real‑time status of a Hyperliquid wallet. This removes the need for developers to build custom API wrappers or manually parse JSON responses, enabling a truly conversational workflow where users can ask about unrealized profit and loss or position details in plain language.

What Problem Does It Solve?

Most trading platforms expose REST or WebSocket endpoints that require authentication, rate‑limiting logic, and careful error handling. For developers building AI assistants, integrating these endpoints directly can be tedious and error‑prone. The Hyperliquid MCP Server abstracts away those complexities: it runs locally, handles authentication tokens, and presents a clean tool interface that Claude can invoke with a single function call. This means developers no longer need to write boilerplate code for each new trading platform they wish to support.

Core Functionality and Value

• Unified Tool Interface: The server offers a single, named tool that accepts a wallet address and returns structured data about unrealized PnL and open positions. Claude can call this tool automatically when a user’s query matches its intent.
• Secure Local Execution: By running on the developer’s machine, sensitive API keys never leave the local environment. The server communicates over a secure IPC channel with Claude Desktop, ensuring that secrets are never exposed to the internet.
• Real‑Time Data: Because the server queries Hyperliquid’s live API, responses reflect current market conditions. This is crucial for traders who need up‑to‑date information to make timely decisions.

Key Features Explained

• Tool Discovery: Claude lists in its tool palette, making it immediately discoverable for users.
• Prompt‑Based Invocation: Users can ask natural questions such as “What’s my unrealized PnL for wallet X?” and the assistant will automatically select the appropriate tool without manual configuration.
• Confirmation Flow: For safety, Claude prompts users to confirm the tool execution before any external call is made, preventing accidental data exposure.
• Extensible Architecture: The server is built on Node.js and follows the MCP specification, so adding additional tools (e.g., order placement or historical data) can be done with minimal effort.

Real‑World Use Cases

1. Day Trading Dashboards: A trader can chat with Claude to check their current positions before placing a new order, all within the same interface.
2. Portfolio Monitoring: Portfolio managers can ask for aggregated PnL across multiple wallets and receive instant summaries.
3. Educational Tools: Instructors teaching crypto trading can demonstrate how conversational AI can interact with live markets without exposing credentials.
4. Automated Alerts: Combine the tool with a rule engine that triggers when unrealized PnL crosses a threshold, allowing Claude to notify the user automatically.

Integration into AI Workflows

Developers simply add the Hyperliquid MCP Server to their Claude Desktop configuration, and the tool appears in the chat UI. From there, Claude’s natural language understanding maps user intent to the tool, handles authentication behind the scenes, and returns formatted results. This plug‑and‑play model means teams can focus on higher‑level application logic—such as strategy formulation or risk assessment—while relying on the server to provide accurate market data.

Hyperliquid MCP Server gives AI assistants instant, secure access to live trading information, turning complex API interactions into natural conversational actions.