What prerequisites are needed to run the server?
Python 3.10 or higher, a Whale Alert API key (sign up at whale‑alert.io), and an MCP‑compatible client such as Claude Desktop or the MCP Inspector.
@kukapay
基本情報
A mcp server for tracking cryptocurrency whale transactions.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"whale-tracker-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@kukapay/whale-tracker-mcp",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Python-based Model Context Protocol (MCP) server that integrates with the Whale Alert API to enable real‑time tracking and analysis of large cryptocurrency transactions (“whale” movements). Designed for cryptocurrency enthusiasts, developers, and analysts who want to monitor whale activity within LLM‑powered workflows.
Install via Smithery or clone the repository, install dependencies (mcp[cli], httpx, python-dotenv), and configure a Whale Alert API key in a .env file. Run in development mode with mcp dev whale_tracker.py, integrate with Claude Desktop using mcp install whale_tracker.py --name "WhaleTracker" -f .env, or execute directly with python whale_tracker.py. Available tools include get_recent_transactions, get_transaction_details; resources include whale://transactions/{blockchain}; and the query_whale_activity prompt template.
httpxPython 3.10 or higher, a Whale Alert API key (sign up at whale‑alert.io), and an MCP‑compatible client such as Claude Desktop or the MCP Inspector.
Create a `.env` file in the project root with `WHALE_ALERT_API_KEY=your_api_key_here`. The server loads the key automatically at startup. Alternatively, pass the key directly with `mcp install -v WHALE_ALERT_API_KEY=your_api_key_here`.
Two tools: `get_recent_transactions` (fetch recent whale transactions with optional blockchain, minimum value, and limit filters) and `get_transaction_details` (retrieve details for a specific transaction ID).
Yes. Run the server standalone with `python whale_tracker.py` or `mcp run whale_tracker.py`, and test it using the MCP Inspector via `mcp dev whale_tracker.py`.
All transaction data is fetched in real‑time from the Whale Alert API (docs.whale‑alert.io). No local storage of transactions is described.
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