# Hyperliquid MCP Server

> Use this tool when you need to automate trading strategies, analyze markets, or execute trades using natural language commands. The Hyperliquid MCP Server enables direct interaction with the Hyperliquid decentralized exchange, allowing for seamless integration with Claude Desktop. It accepts natural language inputs and outputs trading results, market data, and strategy performance metrics.

Canonical page: https://skillsregistry.net/skills/jhonatanpinheiro-hyperliquid-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jhonatanpinheiro-hyperliquid-mcp-server

## Description

Enables Claude Desktop to interact directly with the Hyperliquid decentralized exchange, allowing natural language trading, market analysis, and strategy automation.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ywrejcjdqu)
- **Repository:** <https://github.com/JhonatanPinheiro/hyperliquid-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jhonatanpinheiro-hyperliquid-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhonatanpinheiro-hyperliquid-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhonatanpinheiro-hyperliquid-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt