Dune Query MCP

A modern bridge connecting Dune Analytics data to intelligent agents through Model Control Protocol (MCP).

Overview

dune-query-mcp enables seamless integration of blockchain data analytics into your AI applications. By leveraging Dune Analytics' powerful query capabilities with the Model Control Protocol, this service allows LLMs and other AI systems to access on-chain data through simple, natural language interactions.

Core Capabilities

Data Retrieval Tools

Tool	Description	Use Case
get_latest_result	Retrieves pre-computed query results	Quick access to existing data
run_query	Executes a query on-demand	Real-time data analysis

Data Format

All data is returned in CSV format, providing:

• Universal compatibility
• Easy parsing by most data analysis tools
• Human-readable output

Getting Started

System Requirements

• Python 3.10 or higher
• Valid Dune Analytics API key (Get yours here)

Quick Setup

1. Clone & Navigate

   git clone https://github.com/olaxbt/dune-query-mcp-mcp.git
   cd dune-query-mcp
   

2. Environment Setup

   # Create virtual environment
   python -m venv .venv
   
   # Activate it
   source .venv/bin/activate  # Linux/Mac
   # or
   .venv\Scripts\activate     # Windows
   
   # Install dependencies
   pip install -r requirements.txt
   

3. Configure API Access

   # Copy example config
   cp .env.example .env
   
   # Edit with your API key
   echo "DUNE_API_KEY=your_key_here" > .env
   

Usage

Running the Service

dune-query-mcp offers two ways to run:

As MCP Service

python run.py

This starts the MCP service on default port 8000.

As Web Server

python flask_app.py

This provides access to the web interface and REST API endpoints.

Integrating with Applications

MCP Client Integration

from mcp.client import Client

# Connect to Dune-query-mcp
client = Client("http://localhost:8000")

# Get latest results for a query
csv_data = client.call("get_latest_result", query_id=1234567)

# Execute a query
query_results = client.call("run_query", query_id=1234567)

REST API

Endpoint	Method	Description
/dune/health	GET	Service health check
/dune/query/{query_id}/latest	GET	Retrieve latest results
/dune/query/{query_id}/execute	POST	Run a query

Example REST Call:

curl -X GET http://localhost:5000/dune/query/1234567/latest

Architecture

dune-query-mcp/
├── app/                       # Application core
│   ├── __init__.py            # Flask & MCP setup
│   ├── routes/                # API endpoint definitions
│   │   └── dune_routes/       # Dune Analytics routes
│   │   └── templates/             # Web interface
│   └── templates/             # Web interface
├── config/                    # Configuration files
├── logs/                      # Runtime logs
├── flask_app.py               # Web server entry point
├── run.py                     # MCP server entry point
└── requirements.txt           # Dependencies

Advanced Configuration

Environment Variables

Variable	Purpose	Default
DUNE_API_KEY	Authentication for Dune API	None (Required)
PORT	Server port	8000

Performance Tuning

For high-volume query execution:

# Set a higher timeout for long-running queries
export DUNE_QUERY_TIMEOUT=600  # 10 minutes in seconds

Troubleshooting

Common issues and solutions:

Problem	Solution
API Key errors	Ensure .env file exists with valid key
Timeout errors	Increase timeout for complex queries
CSV parsing issues	Check query returns proper tabular data

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -am 'Add some amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request

License

This project is released under the MIT License. See LICENSE file for details.

Acknowledgments

• Built with FastMCP
• Query functionality powered by Dune Analytics