UBOS MCP Server for Dune Analytics: Empowering AI Agents with Real-Time Data

In the rapidly evolving landscape of AI, the ability of AI Agents to access and process real-time data is paramount. UBOS is at the forefront of this revolution, and with the UBOS MCP (Model Context Protocol) Server for Dune Analytics, we provide a seamless bridge connecting your AI Agents to the wealth of data available on Dune Analytics.

What is an MCP Server?

Before diving into the specifics of the Dune Analytics MCP Server, it’s crucial to understand the core concept of MCP. MCP, or Model Context Protocol, is an open protocol designed to standardize how applications provide context to Large Language Models (LLMs). In essence, an MCP server acts as an intermediary, allowing AI models to interact with external data sources and tools. This interaction is vital for AI Agents to make informed decisions, automate tasks, and provide accurate insights.

Why Dune Analytics?

Dune Analytics is a powerful platform for querying and visualizing blockchain data. It allows users to extract valuable insights from the vast amounts of information stored on various blockchains. By connecting Dune Analytics to your AI Agents, you unlock a myriad of possibilities, from real-time market analysis to automated trading strategies. The UBOS MCP Server for Dune Analytics makes this connection effortless.

Key Features of the UBOS MCP Server for Dune Analytics

The UBOS MCP Server for Dune Analytics is packed with features designed to make data integration seamless and efficient:

• Tools:
  • get_latest_result: This tool allows AI Agents to fetch the most recent results of a specified Dune query by its ID. This is incredibly useful for applications that require up-to-date information, such as monitoring cryptocurrency prices, tracking NFT sales, or analyzing on-chain activity.
  • run_query: With this tool, AI Agents can execute a Dune query by its ID and retrieve the results. This is ideal for applications that need to perform custom data analysis or generate reports on demand.
• CSV Output: All results are returned as CSV-formatted strings, ensuring easy processing and compatibility with a wide range of AI models and data analysis tools. This standardized format simplifies data integration and reduces the need for complex data transformations.

Use Cases: Unleashing the Power of Data-Driven AI Agents

The UBOS MCP Server for Dune Analytics opens up a wide range of use cases for AI Agents. Here are just a few examples:

• Automated Trading Strategies: Imagine an AI Agent that automatically executes trades based on real-time blockchain data. By using the get_latest_result tool to monitor key metrics, such as trading volume, price fluctuations, and on-chain activity, the AI Agent can make informed decisions and optimize trading strategies.
• Real-Time Market Analysis: AI Agents can leverage the UBOS MCP Server to perform real-time market analysis. By querying Dune Analytics for specific data points, such as the number of active users on a decentralized exchange or the total value locked in a DeFi protocol, AI Agents can provide valuable insights to traders and investors.
• Automated Report Generation: The run_query tool can be used to generate custom reports on demand. For example, an AI Agent could be tasked with generating a daily report on the performance of a specific cryptocurrency or a weekly report on the growth of a particular DeFi protocol.
• Fraud Detection: By monitoring on-chain transactions and identifying suspicious patterns, AI Agents can help detect and prevent fraud. The UBOS MCP Server can be used to query Dune Analytics for transaction data and identify potential red flags.
• Supply Chain Optimization: AI Agents can use blockchain data to track the movement of goods and optimize supply chain logistics. By querying Dune Analytics for information on product provenance, shipment status, and inventory levels, AI Agents can identify bottlenecks and improve efficiency.

Getting Started: A Step-by-Step Guide

Integrating the UBOS MCP Server for Dune Analytics into your AI Agent development workflow is straightforward. Here’s a step-by-step guide:

1. Prerequisites:

   • Ensure you have Python 3.10+ installed on your system.
   • Obtain a valid Dune Analytics API key from the Dune Analytics website (https://dune.com/settings/api).

2. Installation:

   • Clone the repository:

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

3. Set Up Environment Variables:

   • Create a .env file in the project root and add your Dune Analytics API key:

   DUNE_API_KEY=your_api_key_here

   • Alternatively, you can set it as a system environment variable:

   bash export DUNE_API_KEY=“your_api_key_here”

4. Running the Server:

   • For development mode, use:

   bash mcp dev main.py

   This starts the server with hot reloading, allowing you to make changes to the code and see the results in real-time.

   • To install for Claude Desktop, use:

   bash mcp install main.py --name “Dune Analytics”

   This installs the server as a service that can be used with Claude Desktop.

5. Tool Usage:

   • 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)

   • 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)

6. Example Commands in Claude Desktop:

   • “Get latest results for dune query 1215383”
   • “Run dune query 1215383”

UBOS: The Full-Stack AI Agent Development Platform

The UBOS MCP Server for Dune Analytics is just one piece of the puzzle. UBOS is a full-stack AI Agent development platform designed to empower businesses to build, orchestrate, and deploy AI Agents across all departments. Our platform offers a comprehensive suite of tools and features, including:

• AI Agent Orchestration: UBOS allows you to easily orchestrate multiple AI Agents, creating complex workflows and automating entire business processes.
• Enterprise Data Connectivity: Connect your AI Agents to your enterprise data sources, including databases, CRMs, and cloud storage, ensuring they have access to the information they need to make informed decisions.
• Custom AI Agent Development: Build custom AI Agents tailored to your specific business needs. UBOS provides a flexible and extensible framework for developing AI Agents using your LLM model and Multi-Agent Systems.

License

The UBOS MCP Server for Dune Analytics is licensed under the MIT License. See the LICENSE file for details.

Conclusion

The UBOS MCP Server for Dune Analytics is a powerful tool for empowering AI Agents with real-time blockchain data. By bridging the gap between Dune Analytics and AI models, we enable businesses to unlock new possibilities and drive innovation. Whether you’re building automated trading strategies, performing real-time market analysis, or automating report generation, the UBOS MCP Server can help you achieve your goals. Integrate it with the UBOS platform to experience the full potential of AI Agent technology.