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An MCP server that streams real-time cryptocurrency liquidation events from Binance.
An MCP server that streams real-time cryptocurrency liquidation events from Binance, enabling AI agents to react instantly to high-volatility market movements.
get_latest_liquidations:
Symbol, Side, Price, Quantity, Time (HH:MM:SS format).limit (default 10).analyze_liquidations:
get_latest_liquidations tool.To install Crypto Liquidations for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kukapay/crypto-liquidations-mcp --client claude
git clone https://github.com/kukapay/crypto-liquidations-mcp.git
cd crypto-liquidations-mcp
Install required packages using uv:
uv sync
Configure your MCP client to connect to the server. For Claude Desktop:
{
"mcpServers": {
"crypto-liquidations": {
"command": "uv",
"args": ["--directory", "/path/to/crypto-liquidations-mcp", "run", "main.py"]
}
}
}
To get started, launch the MCP server to begin streaming liquidation events from Binance. The server runs quietly, collecting up to 1000 recent events in memory without generating logs or saving data to disk.
Use the get_latest_liquidations tool to fetch the most recent liquidation events. You can specify how many events to retrieve (up to 1000) using the limit parameter. For example, you might ask:
"Show me the 5 most recent liquidation events from Binance."
This will return a neatly formatted table showing the trading pair, buy or sell side, price, quantity, and the time of each liquidation in HH:MM:SS format.
Example Output:
| Symbol | Side | Price | Quantity | Time |
|----------|------|--------|----------|----------|
| BTCUSDT | BUY | 50000 | 1.5 | 14:30:45 |
| ETHUSDT | SELL | 3000 | 10.0 | 14:30:40 |
| BNBUSDT | BUY | 500 | 20.0 | 14:30:35 |
| ADAUSDT | SELL | 1.2 | 1000.0 | 14:30:30 |
| XRPUSDT | BUY | 0.8 | 5000.0 | 14:30:25 |
This table makes it easy to see recent market activity, such as large buy or sell liquidations on Binance.
The analyze_liquidations prompt helps you dive deeper into the data. It generates instructions for analyzing liquidation trends across all trading pairs, focusing on frequency, volume, and market impact. The prompt suggests using the get_latest_liquidations tool to fetch data, ensuring you have the latest information to work with.
This is particularly useful for understanding broader market dynamics, such as whether liquidations are increasing or signaling significant price movements.
This project is licensed under the MIT License. See the LICENSE file for details.
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