What is Crypto Liquidations Mcp

Crypto-liquidations-mcp is an MCP server that streams real-time cryptocurrency liquidation events from Binance, allowing AI agents to respond promptly to market volatility.

Use cases

Use cases include monitoring liquidation events for trading strategies, developing AI trading bots that react to market changes, and analyzing market trends based on liquidation data.

How to use

To use crypto-liquidations-mcp, clone the repository, install the required dependencies using ‘uv’, and integrate it with your MCP client to start streaming liquidation events.

Key features

Key features include real-time liquidation streaming from Binance WebSocket, in-memory storage of up to 1000 liquidation events, and tools for retrieving and analyzing liquidation data.

Where to use

Crypto-liquidations-mcp is primarily used in financial technology, trading platforms, and AI-driven trading systems where real-time market data is crucial.

Crypto Liquidations MCP

An MCP server that streams real-time cryptocurrency liquidation events from Binance, enabling AI agents to react instantly to high-volatility market movements.

Features

• Real-time Liquidation Streaming: Connects to Binance WebSocket to capture liquidation events.
• Liquidation Data Storage: Maintains an in-memory list of up to 1000 liquidation events, with no persistent storage.
• Tool: get_latest_liquidations:
  • Retrieves the latest liquidation events in a Markdown table.
  • Columns: Symbol, Side, Price, Quantity, Time (HH:MM:SS format).
  • Parameters: limit (default 10).
• Prompt: analyze_liquidations:
  • Generates a prompt to analyze liquidation trends across all symbols, leveraging the get_latest_liquidations tool.

Prerequisites

• Python 3.10: Required for compatibility.
• uv: Package and dependency manager (install instructions below).
• Internet Access: To connect to Binance WebSocket.

Installation

Installing via Smithery

To install Crypto Liquidations for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @kukapay/crypto-liquidations-mcp --client claude

1. Clone the Repository

git clone https://github.com/kukapay/crypto-liquidations-mcp.git
cd crypto-liquidations-mcp

2. Install Dependencies

Install required packages using uv:

uv sync

3. Integrate with an MCP Client

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"
      ]
    }
  }
}

Usage

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.

Retrieving Liquidation Events

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.

Analyzing Liquidation Trends

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.

License

This project is licensed under the MIT License. See the LICENSE file for details.