Dune Analytics MCP server

The Dune Analytics MCP Server provides a bridge between Dune Analytics data and AI agents, allowing seamless access to blockchain data queries through a simple interface. It exposes tools to fetch and execute Dune queries, returning results in CSV format for easy processing.

Prerequisites

• Python 3.10 or higher
• A valid Dune Analytics API key (obtain from Dune Analytics)

Installation Options

Option 1: Installing via Smithery

The easiest way to install is through Smithery:

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

Option 2: Manual Installation

1. Clone the repository and change into the directory:

git clone https://github.com/kukapay/dune-analytics-mcp.git
cd dune-analytics-mcp

2. Configure your API key using one of these methods:

Create a .env file in the project root:

DUNE_API_KEY=your_api_key_here

Or set it as a system environment variable:

export DUNE_API_KEY="your_api_key_here"

Running the Server

Development Mode

Start the server with hot reloading for development:

mcp dev main.py

Install for Claude Desktop

Set up the server as a service for Claude Desktop:

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

Available Tools

Fetching Latest Query Results

The get_latest_result tool retrieves the most recent results for an existing Dune query.

Usage:

get_latest_result(query_id=4853921)

Parameters:

• query_id (int): The ID of the Dune query

Returns: CSV-formatted string containing the query results

Running a Query

The run_query tool executes a specified Dune query and returns its results.

Usage:

run_query(query_id=1215383)

Parameters:

• query_id (int): The ID of the Dune query to execute

Returns: CSV-formatted string containing the query results

Example Commands

When using with Claude Desktop, you can use natural language to interact with the tools:

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

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.