Whale Tracker MCP Server

Whale Tracker MCP Server

A mcp server for tracking cryptocurrency whale transactions.

kukapay

Research & Data
Visit Server

README

Whale Tracker MCP Server

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

MIT licensed Python Version

<!-- omit in toc -->

Table of Contents

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! 🐳

Recommended Servers

Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python
mixpanel

mixpanel

Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.

Featured
TypeScript
MCP PubMed Search

MCP PubMed Search

Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.

Featured
Python
dbt Semantic Layer MCP Server

dbt Semantic Layer MCP Server

A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.

Featured
TypeScript
Crypto Price & Market Analysis MCP Server

Crypto Price & Market Analysis MCP Server

A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.

Featured
TypeScript
Vectorize

Vectorize

Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

Official
JavaScript
Nefino MCP Server

Nefino MCP Server

Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.

Official
Python
MATLAB MCP Server

MATLAB MCP Server

Integrates MATLAB with AI to execute code, generate scripts from natural language, and access MATLAB documentation seamlessly.

Local
JavaScript
Macrostrat MCP Server

Macrostrat MCP Server

Enables Claude to query comprehensive geologic data from the Macrostrat API, including geologic units, columns, minerals, and timescales through natural language.

Local
JavaScript
MCP Word Counter

MCP Word Counter

A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.

Local
JavaScript