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

Headless blockchain analytics for your terminal. Claude Code executes SQL queries via this MCP server for your CI/CD pipelines.

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Connect Dune Analytics (Web3 SQL Analytics API) MCP to Claude Code

Create your Vinkius account to connect Dune Analytics (Web3 SQL Analytics API) to Claude Code 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 Claude Code

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Headless SQL execution

Run `execute_query` from your terminal to kick off data jobs. This is ideal for automated reports where you need raw blockchain data. It returns an execution ID that you can track in your shell scripts. Use it to build data-driven CI/CD workflows.

Pipeline status monitoring

Pipe the output of `get_execution_status` into your shell logic. This allows your scripts to wait for completion before proceeding to the next step. It keeps your terminal clean and your automation reliable. You catch failures early by checking the state programmatically.

Retrieve data for scripts

Use `get_execution_results` to dump data into local files or stdout. This makes it easy to feed blockchain metrics into other CLI tools. Integration is simple. Just pipe the result into your favorite JSON processor or visualization script.

Setup guide

Set up Dune Analytics (Web3 SQL Analytics API) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see dune-analytics-web3-sql-analytics-api-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Dune Analytics (Web3 SQL Analytics API) transactions." It will automatically discover and invoke the available Dune Analytics (Web3 SQL Analytics API) tools.

Terminal

claude mcp add --transport http dune-analytics-web3-sql-analytics-api-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Dune Analytics (Web3 SQL Analytics API) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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

Yes, once you add the server via the command line, you can invoke these tools in any Claude Code session. It works entirely in your terminal environment.

Run the list command to see all active tools. If the server is correctly configured in your config file, you will see the four query tools listed.

You can use it in headless mode for automation. It executes the tools as requested, making it perfect for cron jobs or build pipelines.

Your query volume is governed by your Dune API plan. The server simply executes what you send, so track your usage on their dashboard.

Your configuration file stores your credentials locally. The server only uses them to sign requests to the API backend, ensuring your tokens remain on your system.

Use it with your favorite AI tools

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