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Dune Analytics MCP桥接服务器

一个将Dune Analytics数据桥接到AI代理的MCP服务器。

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README

Dune Analytics MCP Server

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A mcp server that bridges Dune Analytics data to AI agents.

Features

  • Tools:
    • get_latest_result: Fetch the latest results of a Dune query by ID.
    • run_query: Execute a Dune query by ID and retrieve results.
  • CSV Output: All results are returned as CSV-formatted strings for easy processing.

Prerequisites

  • Python 3.10+
  • A valid Dune Analytics API key (get one from Dune Analytics)

Installation

Installing via Smithery

To install Dune Analytics for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @kukapay/dune-analytics-mcp --client claude

Manual Installation

  1. Clone the Repository:

    git clone https://github.com/kukapay/dune-analytics-mcp.git
    cd dune-analytics-mcp
    
  2. Set Up Environment Variables: Create a .env file in the project root:

    DUNE_API_KEY=your_api_key_here
    

    Alternatively, set it as a system environment variable:

    export DUNE_API_KEY="your_api_key_here"
    

Usage

Running the Server

  • Development Mode:

    mcp dev main.py
    

    This starts the server with hot reloading for development.

  • Install for Claude Desktop:

    mcp install main.py --name "Dune Analytics"
    

    Installs the server as a service for use with Claude Desktop.

Tool Usage

  1. get_latest_result(query_id)

    • Description: Retrieves the latest results of a specified Dune query.
    • Input: query_id (int) - The ID of the Dune query.
    • Output: CSV-formatted string of the query results.
    • Example:
      get_latest_result(query_id=4853921)
      
  2. run_query(query_id)

    • Description: Executes a Dune query and returns the results.
    • Input: query_id (int) - The ID of the Dune query to run.
    • Output: CSV-formatted string of the query results.
    • Example:
      run_query(query_id=1215383)
      

Example Commands in Claude Desktop

  • "Get latest results for dune query 1215383"
  • "Run dune query 1215383"

License

This project is licensed under the MIT License - see the LICENSE file for details.

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端