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Dune Query MCP

by olaxbt
GitHub
Python
  • Linux
  • Apple
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Integrations

  • Enables configuration through environment variables for API access and server settings, particularly for storing the Dune Analytics API key.

  • Provides a web interface and REST API endpoints as an alternative to the MCP service, allowing access to Dune Analytics data through HTTP requests.

  • Used for source code management and enables contribution to the project through a structured branching workflow.

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

ToolDescriptionUse Case
get_latest_resultRetrieves pre-computed query resultsQuick access to existing data
run_queryExecutes a query on-demandReal-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

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
EndpointMethodDescription
/dune/healthGETService health check
/dune/query/{query_id}/latestGETRetrieve latest results
/dune/query/{query_id}/executePOSTRun 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

VariablePurposeDefault
DUNE_API_KEYAuthentication for Dune APINone (Required)
PORTServer port8000

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:

ProblemSolution
API Key errorsEnsure .env file exists with valid key
Timeout errorsIncrease timeout for complex queries
CSV parsing issuesCheck 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

This server cannot be installed

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security - not tested
F
license - not found
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A bridge that connects Dune Analytics blockchain data to AI applications through Model Control Protocol, allowing LLMs to access on-chain data via natural language interactions.

  1. Overview
    1. Core Capabilities
      1. Data Retrieval Tools
      2. Data Format
    2. Getting Started
      1. System Requirements
      2. Quick Setup
    3. Usage
      1. Running the Service
      2. Integrating with Applications
    4. Architecture
      1. Advanced Configuration
        1. Environment Variables
        2. Performance Tuning
      2. Troubleshooting
        1. Contributing
          1. License
            1. Acknowledgments

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