The Whale Tracker MCP server integrates with the Whale Alert API to track and analyze large cryptocurrency transactions ("whale" movements) in real-time. It provides tools and resources that can be accessed through MCP-compatible clients like Claude Desktop, enabling cryptocurrency enthusiasts and analysts to monitor whale activity within their LLM workflows.
For automatic installation with Claude Desktop:
npx -y @smithery/cli install @kukapay/whale-tracker-mcp --client claude
git clone https://github.com/kukapay/whale-tracker-mcp.git
cd whale-tracker-mcp
Using uv (recommended):
uv add "mcp[cli]" httpx python-dotenv
Or using pip:
pip install mcp httpx python-dotenv
Create a .env file in the project root:
WHALE_ALERT_API_KEY=your_api_key_here
Test the server locally using the MCP Inspector:
mcp dev whale_tracker.py --with-editable .
This opens a web interface where you can explore the server's capabilities.
Install the server into Claude Desktop:
mcp install whale_tracker.py --name "WhaleTracker" -f .env
After installation, restart Claude Desktop. Look for the hammer icon in the input box to confirm the server is loaded.
Run the server standalone:
python whale_tracker.py
Or using the MCP CLI:
mcp run whale_tracker.py
Here are some ways to interact with the server in Claude Desktop:
Ask about recent large transactions on a specific blockchain:
What are the latest whale transactions on Ethereum with a minimum value of $1,000,000?
This calls the get_recent_transactions tool with blockchain="ethereum" and min_value=1000000.
Request information about a specific transaction:
Tell me about transaction ID 123456789.
This uses the get_transaction_details tool to fetch data for the specified transaction.
Get an analysis of whale behavior:
Analyze recent whale transactions on Bitcoin.
This triggers the query_whale_activity prompt based on the whale://transactions/bitcoin resource.
The server requires a Whale Alert API key loaded from the WHALE_ALERT_API_KEY environment variable. You can:
.env file (as shown in the installation section)mcp install whale_tracker.py -v WHALE_ALERT_API_KEY=your_api_key_here
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "whale-tracker-mcp" '{"command":"python","args":["whale_tracker.py"]}'See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:
{
"mcpServers": {
"whale-tracker-mcp": {
"command": "python",
"args": [
"whale_tracker.py"
]
}
}
}To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json2. Add this to your configuration file:
{
"mcpServers": {
"whale-tracker-mcp": {
"command": "python",
"args": [
"whale_tracker.py"
]
}
}
}3. Restart Claude Desktop for the changes to take effect