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Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts - MCP Implementation

Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts

Stay ahead of crypto market shifts—track whales' every move with real-time transaction data from the Whale Tracker MCP Server.

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About Whale Tracker MCP Server

What is Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts?

Whale Tracker MCP Server is a specialized tool built on the Model Context Protocol (MCP) framework. It leverages the Whale Alert API to monitor large-scale cryptocurrency transactions (whales) in real-time, enabling users to analyze transaction patterns, identify market-moving activity, and anticipate price trends. This server acts as a middleware layer, providing structured data streams and actionable insights for developers, traders, and analysts.

How to Use Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts?

  1. Setup Environment: Install Python dependencies and configure the MCP SDK.
  2. API Integration: Obtain a Whale Alert API key and configure environment variables.
  3. Run Server: Execute the server to start streaming transaction data via HTTP/WS endpoints.
  4. Query Data: Use pre-built APIs to fetch whale activity data, filter by blockchain/network, or access raw transaction logs.

Whale Tracker MCP Server Features

Key Features of Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts?

  • Real-Time Monitoring: Detect high-value transactions across multiple blockchains instantly.
  • Adaptive Filtering: Configure thresholds to track transactions exceeding custom value limits.
  • Market Analysis Tools: Built-in analytics modules for identifying correlation between whale activity and price movements.
  • Multi-Protocol Support: Supports Bitcoin, Ethereum, and over 20 other major blockchains.
  • Websocket Streaming: Push-based data delivery for low-latency applications.

Use Cases of Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts?

Professional traders use this server to:

Market Sentiment Analysis

Track large institutional movements to gauge bullish/bearish momentum in specific assets.

Risk Management

Automatically detect abnormal transaction spikes that could indicate price manipulation.

Algorithmic Trading

Feed whale activity data into trading bots to execute strategies based on institutional behavior patterns.

Whale Tracker MCP Server FAQ

FAQ from Whale Tracker MCP Server: Track Crypto Whales, Predict Market Shifts?

Is API access required?

Yes, a paid Whale Alert API subscription is mandatory for production use. Free tiers available for testing.

What technical requirements are needed?

Python 3.8+, MCP SDK v2.1+, Docker support recommended for deployment.

Can this integrate with trading platforms?

Yes, provides REST APIs compatible with MetaTrader, TradingView, and custom platforms via webhooks.

Content

Whale Tracker MCP Server

A Model Context Protocol (MCP) server for tracking cryptocurrency whale transactions using the Whale Alert API

MIT licensed Python Version

Table of Contents

  • Overview
  • Features
  • Prerequisites
  • Installation
  • Usage
    • Running in Development Mode
    • Integrating with Claude Desktop
    • Direct Execution
  • Examples
  • API Key Configuration
  • License
  • Acknowledgements

Overview

The whale-tracker-mcp server is a Python-based implementation of the Model Context Protocol (MCP) that integrates with the Whale Alert API. It enables real-time tracking and analysis of large cryptocurrency transactions ("whale" movements) by exposing tools, resources, and prompts to MCP-compatible clients like Claude Desktop.

This server is designed for cryptocurrency enthusiasts, developers, and analysts who want to monitor whale activity directly within their LLM-powered workflows.

Features

  • Tools :
    • get_recent_transactions: Fetch recent whale transactions with optional filters for blockchain, minimum value, and limit.
    • get_transaction_details: Retrieve detailed information about a specific transaction by its ID.
  • Resources :
    • whale://transactions/{blockchain}: Expose recent transactions for a specified blockchain as contextual data.
  • Prompts :
    • query_whale_activity: A reusable template for analyzing whale transaction patterns, optionally filtered by blockchain.
  • Asynchronous API Calls : Uses httpx for efficient, non-blocking requests to the Whale Alert API.
  • Environment Variable Support : Securely manage your API key via a .env file.

Prerequisites

  • Python : Version 3.10 or higher.
  • Whale Alert API Key : Sign up at whale-alert.io to obtain an API key.
  • MCP Client : Compatible with MCP clients like Claude Desktop or the MCP Inspector.

Installation

  1. Clone the repository :
git clone https://github.com/kukapay/whale-tracker-mcp.git
cd whale-tracker-mcp
  1. Install dependencies: We recommend using uv for dependency management:
uv add "mcp[cli]" httpx python-dotenv

Alternatively, use pip:

pip install mcp httpx python-dotenv
  1. Set up your API key: Create a .env file in the project root and add your Whale Alert API key:
WHALE_ALERT_API_KEY=your_api_key_here

Usage

Running in Development Mode

Test the server locally with the MCP Inspector:

mcp dev whale_tracker.py --with-editable .

This opens a web interface where you can explore the server's tools, resources, and prompts.

Integrating with Claude Desktop

Install the server into Claude Desktop for seamless integration:

mcp install whale_tracker.py --name "WhaleTracker" -f .env
  • --name "WhaleTracker": Sets a custom name for the server in Claude Desktop.
  • -f .env: Loads the API key from the .env file.

Restart Claude Desktop after installation. Look for the hammer icon in the input box to confirm the server is loaded, then try commands like:

  • "Show me recent whale transactions on Bitcoin."
  • "Get details for transaction ID 123456789."
  • "Analyze whale activity on Ethereum."

Direct Execution

Run the server standalone for custom deployments:

python whale_tracker.py

Or use the MCP CLI:

mcp run whale_tracker.py

Examples

Here’s how you might interact with the server in Claude Desktop:

Fetch Recent Transactions:

What are the latest whale transactions on Ethereum with a minimum value of $1,000,000?

The server calls get_recent_transactions with blockchain="ethereum" and min_value=1000000.

Get Transaction Details:

Tell me about transaction ID 123456789.

The server uses get_transaction_details to fetch and display the transaction data.

Analyze Whale Activity:

Analyze recent whale transactions on Bitcoin.

The query_whale_activity prompt triggers an analysis based on the whale://transactions/bitcoin resource.

API Key Configuration

The server requires a Whale Alert API key, which is loaded from the WHALE_ALERT_API_KEY environment variable. To configure it:

  • Create a .env file:

    WHALE_ALERT_API_KEY=your_api_key_here

  • Ensure python-dotenv is installed (included in the dependencies).

  • The server will automatically load the key at startup.

Alternatively, pass the key directly when running the server:

mcp install whale_tracker.py -v WHALE_ALERT_API_KEY=your_api_key_here

License

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

Acknowledgements

Happy whale tracking! 🐳

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