Dune Analytics MCP Server

The Dune Analytics MCP Server serves as a bridge between the powerful, on‑chain data analytics platform Dune and AI assistants such as Claude. By exposing a small set of tools that interact directly with the Dune API, the server lets developers incorporate real‑time blockchain analytics into conversational AI workflows without writing custom integration code. This capability is especially valuable for teams building data‑driven financial products, market research tools, or any application that requires up‑to‑date insights from the Ethereum ecosystem.

At its core, the server provides two primary tools: and . The first fetches the most recent output of a pre‑defined Dune query identified by its numeric ID, while the second triggers an immediate execution of a query and returns the freshly computed results. Both tools deliver data as CSV strings, ensuring that downstream processes can parse and manipulate the information with minimal friction. By standardizing on CSV, the server sidesteps the need for JSON parsing or custom data models, making it straightforward to feed results into spreadsheets, dashboards, or further AI reasoning steps.

Developers benefit from the server’s tight integration with the MCP ecosystem. Once deployed—either via Smithery or manually—the MCP exposes its tools through a simple JSON‑based protocol. An AI assistant can invoke the tools by name, passing only the required query ID, and receive a ready‑to‑use CSV payload. This eliminates boilerplate code for authentication (the server handles the Dune API key), rate‑limiting, and error handling. The result is a clean, declarative interface that lets users ask natural language questions like “Show me the latest gas fee trends for query 1215383” and receive actionable data instantly.

Real‑world use cases abound. A fintech startup could let its chatbot retrieve live liquidity metrics for a specific DeFi protocol, enabling users to make informed investment decisions. A compliance team might automate the monitoring of on‑chain transaction patterns by running periodic Dune queries and feeding the results into an audit workflow. Even a data science pipeline could schedule regular query executions via the MCP, aggregating results into a time‑series database for trend analysis. In each scenario, the server’s CSV output streamlines ingestion into existing analytics stacks.

What sets this MCP apart is its minimalism combined with powerful abstraction. It removes the friction of direct API calls, encapsulates authentication securely, and guarantees a consistent data format. For developers who already use MCP to orchestrate AI assistants, adding Dune analytics becomes a one‑line configuration, unlocking deep blockchain insights without compromising on security or maintainability.