whale-tracker-mcp
by
A mcp server for tracking cryptocurrency whale transactions.
What is whale-tracker-mcp
Whale Tracker MCP Server
A Model Context Protocol (MCP) server for tracking cryptocurrency whale transactions using the Whale Alert API
Table of Contents
- Overview
- Features
- Prerequisites
- Installation
- Usage
- 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
- Clone the repository:
git clone https://github.com/kukapay/whale-tracker-mcp.git
cd whale-tracker-mcp
- 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
- 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
Hereβs 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
- Whale Alert for providing the API to track cryptocurrency whale transactions.
- Model Context Protocol team for the MCP specification and Python SDK.
- httpx for a robust HTTP client library.
Happy whale tracking! π³
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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