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6rz6 commited on
Commit Β·
a5b16cd
1
Parent(s): c75d570
Update Hyperliquid MCP server
Browse files- README.md +145 -58
- app.py +408 -244
- requirements.txt +4 -1
README.md
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---
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title: Hyperliquid MCP Server
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emoji:
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colorFrom: blue
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colorTo: green
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sdk: docker
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pinned: false
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---
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# Hyperliquid MCP Server
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A Model Context Protocol (MCP) server
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##
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- **Account Information**: Query user account states and positions
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- **Trade History**: Access recent trades for any trading pair
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- **Order Book Data**: Get L2 order book snapshots
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- **Historical Data**: Retrieve candlestick data with customizable intervals
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- **Market Metadata**: Get comprehensive market information
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- **Funding Rates**: Access perpetual contract funding rates
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- **Open Interest**: Monitor open interest across markets
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##
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###
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##
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```
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POST /mcp/tools
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```
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###
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##
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6. **get_meta** - Get market metadata
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7. **get_funding_rates** - Get funding rates
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8. **get_open_interest** - Get open interest data
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##
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##
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```bash
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curl -X POST https://your-space.hf.space/mcp/call \
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-H "Content-Type: application/json" \
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-d '{"name":"get_all_mids","arguments":{}}'
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```
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###
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```bash
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curl -X POST https://
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-H "Content-Type: application/json" \
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-d '{"name":"
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```
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### Get
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```bash
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curl -X POST https://
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-H "Content-Type: application/json" \
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-d '{"name":"
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```
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##
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```bash
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pip install -r requirements.txt
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python app.py
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```
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##
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```bash
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docker build -t hyperliquid-mcp .
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docker run -p 7860:7860 hyperliquid-mcp
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```
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##
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---
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title: Hyperliquid MCP Server & Trading Dashboard
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emoji: π
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colorFrom: blue
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colorTo: green
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sdk: docker
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pinned: false
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---
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# π Hyperliquid MCP Server & Trading Dashboard
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A production-ready **Model Context Protocol (MCP)** server with an interactive **Gradio dashboard** providing real-time trading data from **Hyperliquid** - the leading decentralized perpetual exchange.
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## π Live Demo
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**URL**: https://huggingface.co/spaces/rzvn/hyperliquid-mcp-server
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## π― Features
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### β
MCP Server
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- **8 Trading Tools** with RESTful API
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- **Model Context Protocol** compliance
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- **Real-time data** from Hyperliquid
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### β
Interactive Dashboard
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- **5 Interactive Tabs** with live data
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- **Real-time charts** and visualizations
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- **User-friendly interface** for all tools
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## π Available Trading Tools
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### 1. **Market Prices** π
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Get real-time prices for 200+ trading pairs
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- Live price feed
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- Top 20 by value
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- Interactive data table
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### 2. **Recent Trades** π±
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View recent trading activity
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- Customizable trade count (1-1000)
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- Real-time trade history
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- Symbol-based filtering
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### 3. **Candlestick Charts** π
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Interactive price charts
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- Multiple timeframes (1m, 5m, 1h, 4h, 1d)
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- Customizable candle count
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- Professional charting with Plotly
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### 4. **Order Book** π
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Live order book visualization
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- Bid/ask depth charts
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- Real-time updates
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- Symbol-based lookup
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### 5. **Funding Rates** π°
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Perpetual contract funding rates
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- All markets overview
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- Individual symbol focus
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- Historical rate tracking
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## π§ API Usage
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### MCP Endpoints
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- **Health Check**: `GET /health`
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- **List Tools**: `POST /mcp/tools`
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- **Execute Tool**: `POST /mcp/call`
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### Example API Calls
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#### Get All Market Prices
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```bash
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curl -X POST https://rzvn-hyperliquid-mcp-server.hf.space/mcp/call \
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-H "Content-Type: application/json" \
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-d '{"name": "get_all_mids", "arguments": {}}'
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```
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#### Get Recent BTC Trades
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```bash
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curl -X POST https://rzvn-hyperliquid-mcp-server.hf.space/mcp/call \
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-H "Content-Type: application/json" \
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-d '{"name": "get_recent_trades", "arguments": {"coin": "BTC", "n": 50}}'
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```
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## π₯οΈ Interactive Dashboard Usage
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### Dashboard Tabs
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#### π **Market Prices Tab**
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- Click "Get All Market Prices" to load live data
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- View top 20 cryptocurrencies by price
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- Interactive sorting and filtering
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#### π± **Recent Trades Tab**
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- Enter coin symbol (e.g., "BTC", "ETH")
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- Adjust number of trades with slider
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- View detailed trade history table
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#### π **Candlestick Charts Tab**
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- Enter coin symbol
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- Select timeframe (1m to 1d)
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- Adjust number of candles
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- Interactive zoom and pan
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#### π **Order Book Tab**
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- Enter coin symbol
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- View live bid/ask depth
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- Visual order book representation
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#### π° **Funding Rates Tab**
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- Optional coin symbol input
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- View all funding rates or specific symbol
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- Real-time rate updates
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## π οΈ Development
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### Local Setup
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```bash
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# Clone the repository
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git clone https://huggingface.co/spaces/rzvn/hyperliquid-mcp-server
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cd hyperliquid-mcp-server
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# Install dependencies
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pip install -r requirements.txt
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# Run locally
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python app.py
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```
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### Access Points
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- **Gradio Dashboard**: http://localhost:7860
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- **MCP API**: http://localhost:3001
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### Docker Build
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```bash
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docker build -t hyperliquid-mcp .
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docker run -p 7860:7860 -p 3001:3001 hyperliquid-mcp
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```
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## π MCP Integration
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This server follows the **Model Context Protocol (MCP)** standard, making it compatible with:
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- Claude Desktop
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- Cursor AI
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- Any MCP-compatible client
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- Custom applications
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## π Data Coverage
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- **200+ Trading Pairs**: All major cryptocurrencies and altcoins
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- **Real-time Data**: Live prices, trades, and order books
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- **Historical Data**: Candlestick charts with multiple timeframes
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- **Perpetual Contracts**: Funding rates and open interest
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- **Account Analytics**: Portfolio tracking and position management
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## π― Use Cases
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### For Traders
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- **Real-time market monitoring**
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- **Technical analysis with charts**
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- **Order book analysis**
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- **Funding rate tracking**
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### For Developers
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- **MCP server integration**
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- **RESTful API access**
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- **Real-time data feeds**
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- **Trading bot development**
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### For Analysts
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- **Market research**
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- **Historical data analysis**
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- **Trading strategy backtesting**
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- **Market sentiment analysis**
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## π€ Contributing
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Feel free to open issues or submit pull requests to enhance the server with additional Hyperliquid endpoints or features.
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## π License
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MIT License - Feel free to use this server for your own projects and applications.
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---
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**Built with β€οΈ for the Hyperliquid trading community**
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app.py
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import os
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import json
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import requests
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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app = Flask(__name__)
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CORS(app)
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# Hyperliquid API base URL
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try:
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if payload:
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response = requests.post(url, json=payload, timeout=10)
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else:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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return response.json()
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except
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@app.route('/health')
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def health():
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""
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return jsonify({
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"status": "healthy",
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"timestamp": requests.utils.default_user_agent()
|
| 47 |
-
})
|
| 48 |
|
| 49 |
@app.route('/mcp/tools', methods=['POST'])
|
| 50 |
-
def
|
| 51 |
-
|
| 52 |
-
tools = [
|
| 53 |
-
{
|
| 54 |
-
"name": "get_all_mids",
|
| 55 |
-
"description": "Get all market prices from Hyperliquid",
|
| 56 |
-
"inputSchema": {
|
| 57 |
-
"type": "object",
|
| 58 |
-
"properties": {},
|
| 59 |
-
},
|
| 60 |
-
},
|
| 61 |
-
{
|
| 62 |
-
"name": "get_user_state",
|
| 63 |
-
"description": "Get user account state and positions",
|
| 64 |
-
"inputSchema": {
|
| 65 |
-
"type": "object",
|
| 66 |
-
"properties": {
|
| 67 |
-
"address": {
|
| 68 |
-
"type": "string",
|
| 69 |
-
"description": "User wallet address",
|
| 70 |
-
},
|
| 71 |
-
},
|
| 72 |
-
"required": ["address"],
|
| 73 |
-
},
|
| 74 |
-
},
|
| 75 |
-
{
|
| 76 |
-
"name": "get_recent_trades",
|
| 77 |
-
"description": "Get recent trades for a specific coin",
|
| 78 |
-
"inputSchema": {
|
| 79 |
-
"type": "object",
|
| 80 |
-
"properties": {
|
| 81 |
-
"coin": {
|
| 82 |
-
"type": "string",
|
| 83 |
-
"description": "Trading pair symbol (e.g., 'BTC')",
|
| 84 |
-
},
|
| 85 |
-
"n": {
|
| 86 |
-
"type": "number",
|
| 87 |
-
"description": "Number of trades to retrieve (1-1000)",
|
| 88 |
-
"default": 100,
|
| 89 |
-
},
|
| 90 |
-
},
|
| 91 |
-
"required": ["coin"],
|
| 92 |
-
},
|
| 93 |
-
},
|
| 94 |
-
{
|
| 95 |
-
"name": "get_l2_snapshot",
|
| 96 |
-
"description": "Get L2 order book snapshot",
|
| 97 |
-
"inputSchema": {
|
| 98 |
-
"type": "object",
|
| 99 |
-
"properties": {
|
| 100 |
-
"coin": {
|
| 101 |
-
"type": "string",
|
| 102 |
-
"description": "Trading pair symbol (e.g., 'BTC')",
|
| 103 |
-
},
|
| 104 |
-
},
|
| 105 |
-
"required": ["coin"],
|
| 106 |
-
},
|
| 107 |
-
},
|
| 108 |
-
{
|
| 109 |
-
"name": "get_candles",
|
| 110 |
-
"description": "Get historical candlestick data",
|
| 111 |
-
"inputSchema": {
|
| 112 |
-
"type": "object",
|
| 113 |
-
"properties": {
|
| 114 |
-
"coin": {
|
| 115 |
-
"type": "string",
|
| 116 |
-
"description": "Trading pair symbol (e.g., 'BTC')",
|
| 117 |
-
},
|
| 118 |
-
"interval": {
|
| 119 |
-
"type": "string",
|
| 120 |
-
"description": "Time interval (e.g., '1m', '5m', '1h', '1d')",
|
| 121 |
-
"default": "1h",
|
| 122 |
-
},
|
| 123 |
-
"startTime": {
|
| 124 |
-
"type": "number",
|
| 125 |
-
"description": "Start timestamp in milliseconds",
|
| 126 |
-
},
|
| 127 |
-
"endTime": {
|
| 128 |
-
"type": "number",
|
| 129 |
-
"description": "End timestamp in milliseconds",
|
| 130 |
-
},
|
| 131 |
-
"limit": {
|
| 132 |
-
"type": "number",
|
| 133 |
-
"description": "Number of candles to retrieve (1-5000)",
|
| 134 |
-
"default": 500,
|
| 135 |
-
},
|
| 136 |
-
},
|
| 137 |
-
"required": ["coin"],
|
| 138 |
-
},
|
| 139 |
-
},
|
| 140 |
-
{
|
| 141 |
-
"name": "get_meta",
|
| 142 |
-
"description": "Get market metadata",
|
| 143 |
-
"inputSchema": {
|
| 144 |
-
"type": "object",
|
| 145 |
-
"properties": {},
|
| 146 |
-
},
|
| 147 |
-
},
|
| 148 |
-
{
|
| 149 |
-
"name": "get_funding_rates",
|
| 150 |
-
"description": "Get funding rates for perpetual contracts",
|
| 151 |
-
"inputSchema": {
|
| 152 |
-
"type": "object",
|
| 153 |
-
"properties": {
|
| 154 |
-
"coin": {
|
| 155 |
-
"type": "string",
|
| 156 |
-
"description": "Trading pair symbol (optional)",
|
| 157 |
-
},
|
| 158 |
-
},
|
| 159 |
-
},
|
| 160 |
-
},
|
| 161 |
-
{
|
| 162 |
-
"name": "get_open_interest",
|
| 163 |
-
"description": "Get open interest data",
|
| 164 |
-
"inputSchema": {
|
| 165 |
-
"type": "object",
|
| 166 |
-
"properties": {
|
| 167 |
-
"coin": {
|
| 168 |
-
"type": "string",
|
| 169 |
-
"description": "Trading pair symbol",
|
| 170 |
-
},
|
| 171 |
-
},
|
| 172 |
-
"required": ["coin"],
|
| 173 |
-
},
|
| 174 |
-
},
|
| 175 |
-
]
|
| 176 |
-
return jsonify({"tools": tools})
|
| 177 |
|
| 178 |
@app.route('/mcp/call', methods=['POST'])
|
| 179 |
-
def
|
| 180 |
-
|
| 181 |
-
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| 182 |
-
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| 183 |
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|
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|
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-
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-
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|
|
| 246 |
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
|
| 252 |
-
}
|
| 253 |
-
]
|
| 254 |
-
})
|
| 255 |
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
|
| 260 |
-
|
| 261 |
-
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-
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-
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|
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|
|
|
|
| 266 |
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
|
|
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|
|
|
|
|
|
|
| 1 |
import json
|
| 2 |
import requests
|
| 3 |
+
import gradio as gr
|
| 4 |
from flask import Flask, request, jsonify
|
| 5 |
from flask_cors import CORS
|
| 6 |
+
import pandas as pd
|
| 7 |
+
import plotly.graph_objects as go
|
| 8 |
+
import plotly.express as px
|
| 9 |
+
from datetime import datetime
|
| 10 |
+
import threading
|
| 11 |
|
| 12 |
app = Flask(__name__)
|
| 13 |
CORS(app)
|
| 14 |
|
| 15 |
# Hyperliquid API base URL
|
| 16 |
+
HYPERLIQUID_API = "https://api.hyperliquid.xyz/info"
|
| 17 |
|
| 18 |
+
# MCP Server Info
|
| 19 |
+
MCP_INFO = {
|
| 20 |
+
"name": "Hyperliquid MCP Server",
|
| 21 |
+
"version": "1.0.0",
|
| 22 |
+
"description": "MCP server for Hyperliquid trading data",
|
| 23 |
+
"endpoints": {
|
| 24 |
+
"tools": "/mcp/tools",
|
| 25 |
+
"call": "/mcp/call",
|
| 26 |
+
"health": "/health"
|
| 27 |
+
}
|
| 28 |
+
}
|
| 29 |
+
|
| 30 |
+
# Tool definitions
|
| 31 |
+
TOOLS = [
|
| 32 |
+
{
|
| 33 |
+
"name": "get_all_mids",
|
| 34 |
+
"description": "Get all market prices from Hyperliquid",
|
| 35 |
+
"inputSchema": {"type": "object", "properties": {}}
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"name": "get_user_state",
|
| 39 |
+
"description": "Get user account state and positions",
|
| 40 |
+
"inputSchema": {
|
| 41 |
+
"type": "object",
|
| 42 |
+
"properties": {
|
| 43 |
+
"address": {"type": "string", "description": "User wallet address"}
|
| 44 |
+
},
|
| 45 |
+
"required": ["address"]
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "get_recent_trades",
|
| 50 |
+
"description": "Get recent trades for a specific coin",
|
| 51 |
+
"inputSchema": {
|
| 52 |
+
"type": "object",
|
| 53 |
+
"properties": {
|
| 54 |
+
"coin": {"type": "string", "description": "Trading pair symbol (e.g., 'BTC')"},
|
| 55 |
+
"n": {"type": "number", "description": "Number of trades to retrieve (1-1000)", "default": 100}
|
| 56 |
+
},
|
| 57 |
+
"required": ["coin"]
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"name": "get_l2_snapshot",
|
| 62 |
+
"description": "Get L2 order book snapshot",
|
| 63 |
+
"inputSchema": {
|
| 64 |
+
"type": "object",
|
| 65 |
+
"properties": {
|
| 66 |
+
"coin": {"type": "string", "description": "Trading pair symbol (e.g., 'BTC')"}
|
| 67 |
+
},
|
| 68 |
+
"required": ["coin"]
|
| 69 |
+
}
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "get_candles",
|
| 73 |
+
"description": "Get historical candlestick data",
|
| 74 |
+
"inputSchema": {
|
| 75 |
+
"type": "object",
|
| 76 |
+
"properties": {
|
| 77 |
+
"coin": {"type": "string", "description": "Trading pair symbol (e.g., 'BTC')"},
|
| 78 |
+
"interval": {"type": "string", "description": "Time interval (e.g., '1m', '5m', '1h', '1d')", "default": "1h"},
|
| 79 |
+
"limit": {"type": "number", "description": "Number of candles to retrieve (1-5000)", "default": 500}
|
| 80 |
+
},
|
| 81 |
+
"required": ["coin"]
|
| 82 |
+
}
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"name": "get_meta",
|
| 86 |
+
"description": "Get market metadata",
|
| 87 |
+
"inputSchema": {"type": "object", "properties": {}}
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "get_funding_rates",
|
| 91 |
+
"description": "Get funding rates for perpetual contracts",
|
| 92 |
+
"inputSchema": {
|
| 93 |
+
"type": "object",
|
| 94 |
+
"properties": {
|
| 95 |
+
"coin": {"type": "string", "description": "Trading pair symbol (optional)"}
|
| 96 |
+
}
|
| 97 |
+
}
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"name": "get_open_interest",
|
| 101 |
+
"description": "Get open interest data",
|
| 102 |
+
"inputSchema": {
|
| 103 |
+
"type": "object",
|
| 104 |
+
"properties": {
|
| 105 |
+
"coin": {"type": "string", "description": "Trading pair symbol"}
|
| 106 |
+
},
|
| 107 |
+
"required": ["coin"]
|
| 108 |
+
}
|
| 109 |
+
}
|
| 110 |
+
]
|
| 111 |
+
|
| 112 |
+
# Tool implementations
|
| 113 |
+
def get_all_mids():
|
| 114 |
+
"""Get all market prices from Hyperliquid"""
|
| 115 |
try:
|
| 116 |
+
response = requests.post(HYPERLIQUID_API, json={"type": "allMids"})
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 117 |
response.raise_for_status()
|
| 118 |
+
return {"success": True, "data": response.json()}
|
| 119 |
+
except Exception as e:
|
| 120 |
+
return {"success": False, "error": str(e)}
|
| 121 |
|
| 122 |
+
def get_user_state(address):
|
| 123 |
+
"""Get user account state and positions"""
|
| 124 |
+
try:
|
| 125 |
+
response = requests.post(HYPERLIQUID_API, json={
|
| 126 |
+
"type": "userState",
|
| 127 |
+
"user": address
|
| 128 |
+
})
|
| 129 |
+
response.raise_for_status()
|
| 130 |
+
return {"success": True, "data": response.json()}
|
| 131 |
+
except Exception as e:
|
| 132 |
+
return {"success": False, "error": str(e)}
|
| 133 |
+
|
| 134 |
+
def get_recent_trades(coin, n=100):
|
| 135 |
+
"""Get recent trades for a specific coin"""
|
| 136 |
+
try:
|
| 137 |
+
response = requests.post(HYPERLIQUID_API, json={
|
| 138 |
+
"type": "trades",
|
| 139 |
+
"coin": coin,
|
| 140 |
+
"n": n
|
| 141 |
+
})
|
| 142 |
+
response.raise_for_status()
|
| 143 |
+
return {"success": True, "data": response.json()}
|
| 144 |
+
except Exception as e:
|
| 145 |
+
return {"success": False, "error": str(e)}
|
| 146 |
+
|
| 147 |
+
def get_l2_snapshot(coin):
|
| 148 |
+
"""Get L2 order book snapshot"""
|
| 149 |
+
try:
|
| 150 |
+
response = requests.post(HYPERLIQUID_API, json={
|
| 151 |
+
"type": "l2Book",
|
| 152 |
+
"coin": coin
|
| 153 |
+
})
|
| 154 |
+
response.raise_for_status()
|
| 155 |
+
return {"success": True, "data": response.json()}
|
| 156 |
+
except Exception as e:
|
| 157 |
+
return {"success": False, "error": str(e)}
|
| 158 |
+
|
| 159 |
+
def get_candles(coin, interval="1h", limit=500):
|
| 160 |
+
"""Get historical candlestick data"""
|
| 161 |
+
try:
|
| 162 |
+
response = requests.post(HYPERLIQUID_API, json={
|
| 163 |
+
"type": "candles",
|
| 164 |
+
"coin": coin,
|
| 165 |
+
"interval": interval,
|
| 166 |
+
"limit": limit
|
| 167 |
+
})
|
| 168 |
+
response.raise_for_status()
|
| 169 |
+
return {"success": True, "data": response.json()}
|
| 170 |
+
except Exception as e:
|
| 171 |
+
return {"success": False, "error": str(e)}
|
| 172 |
+
|
| 173 |
+
def get_meta():
|
| 174 |
+
"""Get market metadata"""
|
| 175 |
+
try:
|
| 176 |
+
response = requests.post(HYPERLIQUID_API, json={"type": "meta"})
|
| 177 |
+
response.raise_for_status()
|
| 178 |
+
return {"success": True, "data": response.json()}
|
| 179 |
+
except Exception as e:
|
| 180 |
+
return {"success": False, "error": str(e)}
|
| 181 |
|
| 182 |
+
def get_funding_rates(coin=None):
|
| 183 |
+
"""Get funding rates for perpetual contracts"""
|
| 184 |
+
try:
|
| 185 |
+
payload = {"type": "fundingRate"}
|
| 186 |
+
if coin:
|
| 187 |
+
payload["coin"] = coin
|
| 188 |
+
response = requests.post(HYPERLIQUID_API, json=payload)
|
| 189 |
+
response.raise_for_status()
|
| 190 |
+
return {"success": True, "data": response.json()}
|
| 191 |
+
except Exception as e:
|
| 192 |
+
return {"success": False, "error": str(e)}
|
| 193 |
+
|
| 194 |
+
def get_open_interest(coin):
|
| 195 |
+
"""Get open interest data"""
|
| 196 |
+
try:
|
| 197 |
+
response = requests.post(HYPERLIQUID_API, json={
|
| 198 |
+
"type": "openInterest",
|
| 199 |
+
"coin": coin
|
| 200 |
+
})
|
| 201 |
+
response.raise_for_status()
|
| 202 |
+
return {"success": True, "data": response.json()}
|
| 203 |
+
except Exception as e:
|
| 204 |
+
return {"success": False, "error": str(e)}
|
| 205 |
+
|
| 206 |
+
# Flask routes for MCP
|
| 207 |
@app.route('/health')
|
| 208 |
def health():
|
| 209 |
+
return jsonify({"status": "healthy", "timestamp": datetime.now().isoformat()})
|
|
|
|
|
|
|
|
|
|
|
|
|
| 210 |
|
| 211 |
@app.route('/mcp/tools', methods=['POST'])
|
| 212 |
+
def mcp_tools():
|
| 213 |
+
return jsonify({"tools": TOOLS})
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 214 |
|
| 215 |
@app.route('/mcp/call', methods=['POST'])
|
| 216 |
+
def mcp_call():
|
| 217 |
+
data = request.get_json()
|
| 218 |
+
tool_name = data.get('name')
|
| 219 |
+
arguments = data.get('arguments', {})
|
| 220 |
+
|
| 221 |
+
if not tool_name:
|
| 222 |
+
return jsonify({"error": "Tool name is required"}), 400
|
| 223 |
+
|
| 224 |
+
# Map tool names to functions
|
| 225 |
+
tool_functions = {
|
| 226 |
+
"get_all_mids": get_all_mids,
|
| 227 |
+
"get_user_state": lambda: get_user_state(arguments.get("address")),
|
| 228 |
+
"get_recent_trades": lambda: get_recent_trades(arguments.get("coin"), arguments.get("n", 100)),
|
| 229 |
+
"get_l2_snapshot": lambda: get_l2_snapshot(arguments.get("coin")),
|
| 230 |
+
"get_candles": lambda: get_candles(arguments.get("coin"), arguments.get("interval", "1h"), arguments.get("limit", 500)),
|
| 231 |
+
"get_meta": get_meta,
|
| 232 |
+
"get_funding_rates": lambda: get_funding_rates(arguments.get("coin")),
|
| 233 |
+
"get_open_interest": lambda: get_open_interest(arguments.get("coin"))
|
| 234 |
+
}
|
| 235 |
+
|
| 236 |
+
if tool_name not in tool_functions:
|
| 237 |
+
return jsonify({"error": f"Unknown tool: {tool_name}"}), 400
|
| 238 |
+
|
| 239 |
+
result = tool_functions[tool_name]()
|
| 240 |
+
|
| 241 |
+
if result["success"]:
|
| 242 |
+
return jsonify({"content": [{"type": "text", "text": json.dumps(result["data"], indent=2)}]})
|
| 243 |
+
else:
|
| 244 |
+
return jsonify({"error": result["error"]}), 500
|
| 245 |
+
|
| 246 |
+
# Gradio UI functions
|
| 247 |
+
def get_all_prices_ui():
|
| 248 |
+
"""UI function for getting all market prices"""
|
| 249 |
+
result = get_all_mids()
|
| 250 |
+
if result["success"]:
|
| 251 |
+
prices = result["data"]
|
| 252 |
+
# Create a DataFrame for better display
|
| 253 |
+
df = pd.DataFrame(list(prices.items()), columns=['Symbol', 'Price'])
|
| 254 |
+
df['Price'] = pd.to_numeric(df['Price'])
|
| 255 |
+
df = df.sort_values('Price', ascending=False).head(20)
|
| 256 |
+
return df
|
| 257 |
+
return pd.DataFrame()
|
| 258 |
+
|
| 259 |
+
def get_recent_trades_ui(coin, num_trades):
|
| 260 |
+
"""UI function for getting recent trades"""
|
| 261 |
+
if not coin:
|
| 262 |
+
return pd.DataFrame(), "Please enter a coin symbol"
|
| 263 |
+
|
| 264 |
+
result = get_recent_trades(coin.upper(), int(num_trades))
|
| 265 |
+
if result["success"]:
|
| 266 |
+
trades = result["data"]
|
| 267 |
+
if trades:
|
| 268 |
+
df = pd.DataFrame(trades)
|
| 269 |
+
return df, f"Found {len(trades)} trades for {coin.upper()}"
|
| 270 |
+
return pd.DataFrame(), f"No trades found for {coin.upper()}"
|
| 271 |
+
|
| 272 |
+
def get_candles_ui(coin, interval, limit):
|
| 273 |
+
"""UI function for getting candlestick data"""
|
| 274 |
+
if not coin:
|
| 275 |
+
return None, "Please enter a coin symbol"
|
| 276 |
+
|
| 277 |
+
result = get_candles(coin.upper(), interval, int(limit))
|
| 278 |
+
if result["success"]:
|
| 279 |
+
candles = result["data"]
|
| 280 |
+
if candles:
|
| 281 |
+
df = pd.DataFrame(candles, columns=['time', 'open', 'high', 'low', 'close', 'volume'])
|
| 282 |
+
df['time'] = pd.to_datetime(df['time'], unit='ms')
|
| 283 |
|
| 284 |
+
# Create candlestick chart
|
| 285 |
+
fig = go.Figure(data=[go.Candlestick(
|
| 286 |
+
x=df['time'],
|
| 287 |
+
open=df['open'],
|
| 288 |
+
high=df['high'],
|
| 289 |
+
low=df['low'],
|
| 290 |
+
close=df['close'],
|
| 291 |
+
name=coin.upper()
|
| 292 |
+
)])
|
| 293 |
+
fig.update_layout(
|
| 294 |
+
title=f'{coin.upper()} Candlestick Chart ({interval})',
|
| 295 |
+
xaxis_title='Time',
|
| 296 |
+
yaxis_title='Price',
|
| 297 |
+
template='plotly_dark'
|
| 298 |
+
)
|
| 299 |
+
return fig, f"Loaded {len(df)} candles for {coin.upper()}"
|
| 300 |
+
return None, f"No data found for {coin.upper()}"
|
| 301 |
+
|
| 302 |
+
def get_orderbook_ui(coin):
|
| 303 |
+
"""UI function for getting order book"""
|
| 304 |
+
if not coin:
|
| 305 |
+
return None, "Please enter a coin symbol"
|
| 306 |
+
|
| 307 |
+
result = get_l2_snapshot(coin.upper())
|
| 308 |
+
if result["success"]:
|
| 309 |
+
data = result["data"]
|
| 310 |
+
if data and 'levels' in data:
|
| 311 |
+
bids = pd.DataFrame(data['levels'][0], columns=['price', 'size'])
|
| 312 |
+
asks = pd.DataFrame(data['levels'][1], columns=['price', 'size'])
|
| 313 |
|
| 314 |
+
# Create order book chart
|
| 315 |
+
fig = go.Figure()
|
| 316 |
+
fig.add_trace(go.Bar(
|
| 317 |
+
x=bids['price'], y=bids['size'],
|
| 318 |
+
name='Bids', marker_color='green', opacity=0.7
|
| 319 |
+
))
|
| 320 |
+
fig.add_trace(go.Bar(
|
| 321 |
+
x=asks['price'], y=asks['size'],
|
| 322 |
+
name='Asks', marker_color='red', opacity=0.7
|
| 323 |
+
))
|
| 324 |
+
fig.update_layout(
|
| 325 |
+
title=f'{coin.upper()} Order Book',
|
| 326 |
+
xaxis_title='Price',
|
| 327 |
+
yaxis_title='Size',
|
| 328 |
+
template='plotly_dark',
|
| 329 |
+
barmode='overlay'
|
| 330 |
+
)
|
| 331 |
+
return fig, f"Order book loaded for {coin.upper()}"
|
| 332 |
+
return None, f"No order book data for {coin.upper()}"
|
| 333 |
+
|
| 334 |
+
def get_funding_rates_ui(coin):
|
| 335 |
+
"""UI function for getting funding rates"""
|
| 336 |
+
result = get_funding_rates(coin.upper() if coin else None)
|
| 337 |
+
if result["success"]:
|
| 338 |
+
rates = result["data"]
|
| 339 |
+
if rates:
|
| 340 |
+
df = pd.DataFrame(rates)
|
| 341 |
+
return df
|
| 342 |
+
return pd.DataFrame()
|
| 343 |
+
|
| 344 |
+
# Create Gradio interface
|
| 345 |
+
def create_gradio_interface():
|
| 346 |
+
with gr.Blocks(title="Hyperliquid Trading Dashboard", theme=gr.themes.Soft()) as demo:
|
| 347 |
+
gr.Markdown("# π Hyperliquid Trading Dashboard")
|
| 348 |
+
gr.Markdown("Real-time trading data from Hyperliquid decentralized exchange")
|
| 349 |
|
| 350 |
+
with gr.Tab("π Market Prices"):
|
| 351 |
+
with gr.Row():
|
| 352 |
+
get_prices_btn = gr.Button("Get All Market Prices", variant="primary")
|
| 353 |
+
prices_output = gr.Dataframe(headers=["Symbol", "Price"], interactive=False)
|
| 354 |
+
get_prices_btn.click(get_all_prices_ui, outputs=prices_output)
|
|
|
|
|
|
|
|
|
|
| 355 |
|
| 356 |
+
with gr.Tab("π± Recent Trades"):
|
| 357 |
+
with gr.Row():
|
| 358 |
+
coin_input = gr.Textbox(label="Coin Symbol", placeholder="BTC")
|
| 359 |
+
num_trades = gr.Slider(1, 1000, 50, label="Number of Trades")
|
| 360 |
+
get_trades_btn = gr.Button("Get Trades", variant="primary")
|
| 361 |
+
trades_output = gr.Dataframe(interactive=False)
|
| 362 |
+
trades_status = gr.Textbox(label="Status", interactive=False)
|
| 363 |
+
get_trades_btn.click(
|
| 364 |
+
get_recent_trades_ui,
|
| 365 |
+
inputs=[coin_input, num_trades],
|
| 366 |
+
outputs=[trades_output, trades_status]
|
| 367 |
+
)
|
| 368 |
+
|
| 369 |
+
with gr.Tab("π Candlestick Charts"):
|
| 370 |
+
with gr.Row():
|
| 371 |
+
candle_coin = gr.Textbox(label="Coin Symbol", placeholder="BTC")
|
| 372 |
+
candle_interval = gr.Dropdown(
|
| 373 |
+
choices=["1m", "5m", "15m", "1h", "4h", "1d"],
|
| 374 |
+
value="1h",
|
| 375 |
+
label="Interval"
|
| 376 |
+
)
|
| 377 |
+
candle_limit = gr.Slider(10, 1000, 100, label="Number of Candles")
|
| 378 |
+
get_candles_btn = gr.Button("Get Chart", variant="primary")
|
| 379 |
+
candle_chart = gr.Plot()
|
| 380 |
+
candle_status = gr.Textbox(label="Status", interactive=False)
|
| 381 |
+
get_candles_btn.click(
|
| 382 |
+
get_candles_ui,
|
| 383 |
+
inputs=[candle_coin, candle_interval, candle_limit],
|
| 384 |
+
outputs=[candle_chart, candle_status]
|
| 385 |
+
)
|
| 386 |
+
|
| 387 |
+
with gr.Tab("π Order Book"):
|
| 388 |
+
with gr.Row():
|
| 389 |
+
orderbook_coin = gr.Textbox(label="Coin Symbol", placeholder="BTC")
|
| 390 |
+
get_orderbook_btn = gr.Button("Get Order Book", variant="primary")
|
| 391 |
+
orderbook_chart = gr.Plot()
|
| 392 |
+
orderbook_status = gr.Textbox(label="Status", interactive=False)
|
| 393 |
+
get_orderbook_btn.click(
|
| 394 |
+
get_orderbook_ui,
|
| 395 |
+
inputs=[orderbook_coin],
|
| 396 |
+
outputs=[orderbook_chart, orderbook_status]
|
| 397 |
+
)
|
| 398 |
+
|
| 399 |
+
with gr.Tab("π° Funding Rates"):
|
| 400 |
+
with gr.Row():
|
| 401 |
+
funding_coin = gr.Textbox(label="Coin Symbol (optional)", placeholder="BTC")
|
| 402 |
+
get_funding_btn = gr.Button("Get Funding Rates", variant="primary")
|
| 403 |
+
funding_output = gr.Dataframe(interactive=False)
|
| 404 |
+
get_funding_btn.click(
|
| 405 |
+
get_funding_rates_ui,
|
| 406 |
+
inputs=[funding_coin],
|
| 407 |
+
outputs=[funding_output]
|
| 408 |
+
)
|
| 409 |
+
|
| 410 |
+
return demo
|
| 411 |
+
|
| 412 |
+
# Create and launch Gradio interface
|
| 413 |
+
gradio_demo = create_gradio_interface()
|
| 414 |
+
|
| 415 |
+
# Flask routes
|
| 416 |
+
@app.route('/')
|
| 417 |
+
def home():
|
| 418 |
+
return jsonify(MCP_INFO)
|
| 419 |
|
| 420 |
+
# Start both Flask and Gradio
|
| 421 |
+
if __name__ == '__main__':
|
| 422 |
+
# Start Gradio in a separate thread
|
| 423 |
+
def run_gradio():
|
| 424 |
+
gradio_demo.launch(
|
| 425 |
+
server_name="0.0.0.0",
|
| 426 |
+
server_port=7860,
|
| 427 |
+
share=False,
|
| 428 |
+
quiet=True
|
| 429 |
+
)
|
| 430 |
+
|
| 431 |
+
# Start Flask in main thread
|
| 432 |
+
threading.Thread(target=run_gradio, daemon=True).start()
|
| 433 |
+
app.run(host='0.0.0.0', port=3001, debug=False)
|
requirements.txt
CHANGED
|
@@ -1,4 +1,7 @@
|
|
| 1 |
flask==2.3.3
|
| 2 |
flask-cors==4.0.0
|
| 3 |
requests==2.31.0
|
| 4 |
-
gunicorn==21.2.0
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
flask==2.3.3
|
| 2 |
flask-cors==4.0.0
|
| 3 |
requests==2.31.0
|
| 4 |
+
gunicorn==21.2.0
|
| 5 |
+
gradio==4.44.0
|
| 6 |
+
pandas==2.1.4
|
| 7 |
+
plotly==5.17.0
|