Dune Analytics Data Server – Overview | MCP Marketplace

✨ From vibe coding to vibe deployment. UBOS MCP turns ideas into infra with one message.

Learn more

Unleash the Power of On-Chain Data with UBOS Asset Marketplace’s MCP Server

In today’s rapidly evolving landscape of artificial intelligence, the ability to access and interpret real-world data is paramount. This is especially true in the decentralized finance (DeFi) space, where vast amounts of valuable information reside on blockchains. The UBOS Asset Marketplace presents a game-changing solution: the Model Context Protocol (MCP) Server for Dune Analytics. This innovative tool acts as a bridge, seamlessly connecting Dune Analytics’ comprehensive data with AI agents, unlocking unprecedented opportunities for analysis, automation, and informed decision-making.

What is an MCP Server?

Before diving into the specifics of the Dune Analytics MCP Server, let’s define the core concept. An MCP (Model Context Protocol) server is a crucial component in the world of AI, particularly for Large Language Models (LLMs). It’s essentially a middleware layer that facilitates communication between AI models and external data sources or tools. MCP defines a standardized way how applications provide context to LLMs.

Think of it as a translator, converting complex data into a format that AI agents can readily understand and utilize. This enables AI to go beyond simply processing text; it can now interact with real-world data, perform calculations, and make decisions based on concrete information. The UBOS platform specializes in creating robust and scalable AI Agent solutions, and MCP servers like this are essential for expanding the capabilities of our agents.

The UBOS Advantage: AI Agents Meet Blockchain Data

The UBOS Asset Marketplace is designed to empower businesses and developers with the tools they need to build sophisticated AI-driven applications. Our full-stack AI Agent Development Platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems. The Dune Analytics MCP Server is a prime example of this philosophy, offering a pre-built, readily deployable solution for accessing critical blockchain data.

Use Cases: Transform Your Approach to DeFi

The possibilities unlocked by this MCP Server are vast and span a multitude of use cases within the DeFi ecosystem. Here are a few examples:

  • Automated Trading Strategies: Develop AI agents that automatically execute trades based on real-time DEX metrics. The server provides access to essential data like liquidity, volume, and price fluctuations, allowing your agents to identify profitable opportunities and react swiftly to market changes.
  • Risk Management & Fraud Detection: Monitor token balances and transaction patterns on Solana to identify potentially fraudulent activity or high-risk wallets. AI agents can be trained to detect anomalies and alert users to potential threats.
  • Yield Optimization: Analyze EigenLayer AVS and operator statistics to identify the most lucrative staking and delegation opportunities. The server provides access to key metrics like staking rewards, operator performance, and AVS growth, enabling users to maximize their returns.
  • Data-Driven Research: Conduct in-depth research on DeFi trends and market dynamics using a comprehensive dataset of DEX metrics, token balances, and EigenLayer statistics. The server provides a structured and easily accessible data source for academic research, market analysis, and investment due diligence.
  • Personalized DeFi Dashboards: Create customized dashboards that track the performance of your favorite tokens, DEXs, and EigenLayer AVS. AI agents can be used to generate personalized insights and recommendations based on your individual investment portfolio.
  • AI-Powered Portfolio Management: Automate portfolio rebalancing based on real-time market data and user-defined risk parameters. AI agents can continuously monitor your portfolio, identify opportunities for diversification, and execute trades to maintain your desired asset allocation.

Key Features: A Deep Dive

The Dune Analytics MCP Server boasts a rich set of features designed to provide comprehensive access to blockchain data:

  • get_dex_pair_metrics(chain, token_pair): This tool is the cornerstone for accessing DEX data. It retrieves essential metadata and statistical data for a specified token pair on a given blockchain. The output includes crucial information like trading volume, liquidity, price changes, and transaction counts, providing a comprehensive overview of the pair’s performance.

    • Example: You can use this tool to retrieve the liquidity, trading volume, and price volatility of the USDC/ETH pair on Uniswap V3 (Ethereum).
  • get_token_pairs_liquidity(chain): Identifying the most liquid token pairs on a given chain is critical for efficient trading and minimizing slippage. This tool identifies the token pair with the highest USD liquidity, enabling users to focus on the most active and liquid markets.

    • Example: This tool can reveal that the ETH/USDT pair on Binance Smart Chain has the highest liquidity, making it an ideal choice for large trades.
  • get_svm_token_balances(wallet_address): Solana’s high-speed blockchain requires specialized tools for accessing account information. This tool retrieves the token balances for a specific wallet address on the Solana blockchain. This is invaluable for tracking portfolio holdings, monitoring transaction activity, and identifying potential security threats.

    • Example: You can use this to check your SOL balance on Phantom wallet.
  • get_eigenlayer_avs_metrics(avs_name): EigenLayer is revolutionizing the way we think about blockchain security and infrastructure. This tool retrieves statistics for a specific Actively Validated Service (AVS) within the EigenLayer ecosystem, providing insights into its performance, security, and growth.

    • Example: This tool can provide data on the number of stakers, total stake, and slashing events for the EigenDA AVS.
  • get_eigenlayer_operator_metrics(avs_name): Understanding the performance of individual operators within an AVS is crucial for making informed delegation decisions. This tool retrieves statistics for all operators within a specific AVS, allowing users to identify the most reliable and profitable operators.

    • Example: This tool can compare the uptime, rewards, and slashing history of different EigenDA operators.
  • Structured JSON Output: All results are returned in a structured JSON format, ensuring seamless integration with AI agents and other data processing tools. This standardized format eliminates the need for complex parsing and data manipulation, saving valuable development time.

Getting Started: Installation and Usage

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

  1. Prerequisites: Ensure you have Node.js 16+ or Bun 1.0+ installed, along with a valid Dune Analytics API key (obtainable from Dune Analytics).

  2. Installation: Clone the repository from GitHub:

    bash git clone https://github.com/ekailabs/dune-mcp-server.git cd dune-mcp-server

    Install dependencies using Bun or npm:

    bash

    Using Bun

    bun install

    Using npm

    npm install

  3. 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, set it as a system environment variable.

  4. Running the Server: Start the server using Bun or npm:

    bash

    Using Bun

    bun dev # Development mode with hot reload bun start # Production mode

    Using npm

    npm run dev # Development mode with hot reload npm start # Production mode

  5. Integration with Claude for Desktop (Optional): To use the server with Claude for Desktop, add the server configuration to the claude_desktop_config.json file (location varies depending on your operating system).

    { “mcpServers”: { “dune”: { “command”: “bun”, “args”: [ “/ABSOLUTE/PATH/TO/dune-mcp-server/src/index.ts”, “stdio” ] } } }

Example Commands: Unleash the Power of Natural Language

The true power of the Dune Analytics MCP Server lies in its ability to be controlled using natural language. Here are a few example commands that you can use with Claude for Desktop:

  • “Can you please give me the liquidity of ‘USDC-WETH’ token pair on ethereum?”
  • “Show me the highest liquidity token pair on arbitrum”
  • “Can you please plot the stake distribution of EigenDA operators?”
  • “How many stakers are there on EigenDA AVS”

These commands demonstrate how easily you can access and analyze complex blockchain data using simple, intuitive language.

UBOS: Your Partner in AI Agent Development

The Dune Analytics MCP Server is just one example of the many powerful tools available on the UBOS Asset Marketplace. Our platform provides a comprehensive suite of resources for building, deploying, and managing AI agents across a wide range of industries.

Whether you’re a seasoned AI developer or just getting started, UBOS offers the support and infrastructure you need to succeed. From pre-built components to custom development services, we’re committed to helping you unlock the full potential of AI.

Ready to revolutionize your approach to DeFi? Explore the Dune Analytics MCP Server on the UBOS Asset Marketplace today and discover the power of AI-driven insights.

The Future of AI and Blockchain Integration

The integration of AI and blockchain technology is still in its early stages, but the potential is immense. As AI models become more sophisticated and blockchain networks continue to evolve, we can expect to see even more innovative applications emerge. The UBOS Asset Marketplace is at the forefront of this revolution, providing the tools and resources necessary to build the next generation of AI-powered blockchain solutions.

Featured Templates

View More

Start your free trial

Build your solution today. No credit card required.

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.