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
基本信息
A mcp server for tracking cryptocurrency whale transactions.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"whale-tracker-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@kukapay/whale-tracker-mcp",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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