
dune-analytics-mcpA mcp server that bridges Dune Analytics data to AI agents.
Overview
Key features
- get_latest_result: Fetch latest Dune query results by ID
- run_query: Execute a Dune query by ID and retrieve results
- CSV Output: Returns results as CSV-formatted strings
- Development Mode: Supports hot reloading for development
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
AI Agent Data Retrieval
Use Dune Analytics MCP Server to fetch the latest results of a Dune query by ID for an AI agent.
Automated Query Execution
Execute a Dune query by ID and retrieve results using the MCP Server for automated workflows.
Pros & Cons
Pros
- Easy integration with Dune Analytics data
- Simple CSV-formatted output for processing
- Supports development mode and installation as a service
Cons
- Requires a valid Dune Analytics API key
- Limited to Python 3.10+ environment
Reviews
Sign in to leave a review.
No reviews yet. Be the first!
Q&A
What is required to authenticate with Dune Analytics?
You must provide a DUNE_API_KEY either in a .env file at the project root or as a system environment variable. No other authentication steps are needed once the key is set.
Asked by Mateusz Wozniak · Nov 1, 2025
Can I use the server in development mode?
Yes, running `mcp dev main.py` starts the server with hot reloading, which is useful for testing and development before installing it as a service for Claude Desktop.
Asked by Marcus Bell · Oct 28, 2025
How does the tool return query results?
Both get_latest_result and run_query return the data as CSV‑formatted strings, making it easy to parse and process in downstream applications.
Asked by Fiorella Bianchi · Oct 26, 2025
What are the minimum system requirements to run Dune Analytics MCP Server?
The server requires Python 3.10 or newer and a valid Dune Analytics API key. It can be installed via Smithery or manually from the GitHub repo, and works in a Python environment or as a service for Claude Desktop.
Asked by Giulia Conti · Oct 2, 2025
Ask a question
MCP Servers alternatives

Open-source MCP server that lets LLMs drive real browsers via Playwright and accessibility snapshots.

Python agent framework from the Pydantic team for building type-safe GenAI apps.

Adaptive memory layer that helps AI agents learn from context over time.

AI email assistant that organizes, drafts replies, and helps you reach inbox zero faster.

Open-source 24/7 local screen and audio recording for building context-aware AI apps

TypeScript library for building and orchestrating AI agents with tools, memory, and multi-agent workflows.

Bringing the bankless onchain API to MCP

Python tool for converting files and office documents to Markdown.
Trending now

Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

Sponsored answers, paid per click.

Accurate Homework Help with Full Explanations

Open multimodal 12B model handling interleaved images and text with a 128K context window.
