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

Q: How do I add Dune Analytics (Web3 SQL Analytics API) to Cursor?

Open your global or project-specific .cursor/mcp.json file and add the MCP server configuration under the mcpServers key. Once saved, enable Agent mode in the chat panel to let the editor access the execution tools.

Q: Can Cursor automatically poll for results from Dune Analytics (Web3 SQL Analytics API)?

Yes, Cursor's agent can use getexecutionstatus to poll the API until the query completes. Once finished, it automatically calls the results tool to retrieve the dataset.

Generate code using live blockchain data by connecting Cursor to the Dune Analytics API.

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Connect Dune Analytics (Web3 SQL Analytics API) MCP to Cursor

Create your Vinkius account to connect Dune Analytics (Web3 SQL Analytics API) to Cursor 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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Setup Dune Analytics (Web3 SQL Analytics API) with Cursor

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Claude

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Code with Real Web3 Data in Cursor

This MCP Server uses `execute_query` to feed real blockchain database results straight into your Cursor workspace. Your agent runs queries to pull live data instead of static mock objects. This setup eliminates the need to manually export CSVs. Your editor pulls the exact database schemas and query structures directly while you write your application logic.

Track Query States Inside Your Editor

This MCP Server uses `get_execution_status` to track running SQL queries while you write code. Your agent monitors the run in the background and alerts you when the blockchain dataset is ready for ingestion. You can write code while the query runs. Once the status changes, Cursor automatically grabs the payload and populates your workspace files.

Pull Live Datasets Directly into Code Files

This MCP Server uses `get_execution_results` to retrieve completed dataset rows directly into your active files. Your agent grabs the raw data so you can test your parsers with real payloads. You get actual API responses to test your UI components. This ensures your code is built against the exact data structures returned by the live API.

Setup guide

Set up Dune Analytics (Web3 SQL Analytics API) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Dune Analytics (Web3 SQL Analytics API) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Dune Analytics (Web3 SQL Analytics API) transactions." If the MCP tools are loaded correctly, Cursor will call the Dune Analytics (Web3 SQL Analytics API) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "dune-analytics-web3-sql-analytics-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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

Open your global or project-specific `.cursor/mcp.json` file and add the MCP server configuration under the `mcpServers` key. Once saved, enable Agent mode in the chat panel to let the editor access the execution tools.

Yes, Cursor's agent can use `get_execution_status` to poll the API until the query completes. Once finished, it automatically calls the results tool to retrieve the dataset.

Your agent uses the MCP server to get real API responses instead of placeholder data. This allows Cursor to write precise parsing logic based on the actual blockchain data structures returned.

Yes, you can instruct the agent to stop any active run. The agent calls `cancel_execution` with the execution ID to stop the process immediately.

Yes, the MCP setup keeps your keys stored locally within your Cursor configuration. The server makes direct HTTPS calls to Dune's API, ensuring your execution IDs and returned blockchain rows are never exposed to external telemetry.

Use it with your favorite AI tools

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