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How to Use the Dune Analytics (Web3 SQL Analytics API) MCP in Mastra AI

Automate complex blockchain workflows in Mastra AI with the Dune Analytics (Web3 SQL Analytics API) MCP Server.

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Connect Dune Analytics (Web3 SQL Analytics API) MCP to Mastra AI

Create your Vinkius account to connect Dune Analytics (Web3 SQL Analytics API) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automated SQL execution workflows

Build agentic pipelines that run queries and handle the results automatically. Use `execute_query` as the starting point for any multi-step analysis. Mastra AI manages the sequence. If a query takes time, the agent waits or performs other tasks until the status is ready for the next step.

Conditional query logic

Branch your workflow based on the output of `get_execution_status`. You can define retries or fallback queries if a specific execution hits a failure state. This keeps your agent operations moving forward. You never have to manually restart a failed data pull because the logic is baked into your agent configuration.

Reliable data retrieval

Pull verified data rows using `get_execution_results` only after the agent confirms success. This ensures your downstream actions receive consistent, accurate information. Your agents rely on this validation to make decisions. It removes the guesswork from handling raw blockchain metrics in your automated processes.

Setup guide

Set up Dune Analytics (Web3 SQL Analytics API) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Dune Analytics (Web3 SQL Analytics API) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dune-analytics-web3-sql-analytics-api-mcp-client",
  servers: {
    "dune-analytics-web3-sql-analytics-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Dune Analytics (Web3 SQL Analytics API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Dune Analytics (Web3 SQL Analytics API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Dune Analytics (Web3 SQL Analytics API) transactions"
);
console.log(result.text);

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Common questions about Dune Analytics (Web3 SQL Analytics API) MCP in Mastra AI

Include the server URL in your agent definition. Once initialized, the tools are available for your agents to call during their standard execution cycles.
Yes. You can write a workflow that checks the status and triggers a retry if the query fails. The toolset integrates with the built-in retry engine.
Use the `requireToolApproval` setting in your agent. You will get a prompt before any SQL query is sent to the database.
Vinkius manages all auth tokens. Your agent only communicates with the server through an authenticated, encrypted channel.
It stores nothing. Every request is ephemeral, and only the queried SQL and resulting blockchain data rows pass through the session.

Start using the Dune Analytics (Web3 SQL Analytics API) MCP today

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