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kukapay/whale-tracker-mcp

kukapay/whale-tracker-mcp

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Free

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

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

](https://opensource.org/license/mit/) [ [](https://smithery.ai/server/@kukapay/whale-tracker-mcp)

  • Overview
  • Features
  • Prerequisites
  • Installation
  • Usage
  • Running in Development Mode
  • Integrating with Claude Desktop
  • Direct Execution
  • Examples
  • API Key Configuration
  • License
  • Acknowledgements

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.

Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.

Category: Developer Tools

Don't lose this

Three weeks from now, you'll want kukapay/whale-tracker-mcp again. Will you remember where to find it?

Save it to your library and the next time you need kukapay/whale-tracker-mcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. kukapay/whale-tracker-mcp. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from awesome:punkpeye/awesome-mcp-servers

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