Dune Analytics MCP Server

Dune Analytics MCP Server

Enables AI agents to query and analyze blockchain data from Dune Analytics, supporting execution of saved queries, ad-hoc DuneSQL queries, and access to cached results with parameter support.

Category
Visit Server

README

mcp-server-dune

A Model Context Protocol (MCP) server for integrating AI agents with Dune Analytics blockchain data.

Requirements

  • Python 3.11+
  • Dune Analytics API key

Features

Tools

  • run_query - Execute saved Dune queries and wait for results
  • submit_query - Submit queries asynchronously for long-running jobs
  • get_execution_status - Check the status of running queries
  • get_execution_results - Retrieve results from completed executions
  • run_sql - Execute raw ad-hoc DuneSQL queries
  • create_query - Save new queries to your Dune library
  • update_query - Modify existing queries
  • archive_query - Archive queries from active workspace

Resources (dune:// scheme)

  • dune://query/{id}/latest - Cached results (zero credits)
  • dune://query/{id}/sql - Query SQL definition
  • dune://execution/{id}/status - Execution job status

Prompts

  • generate_dune_sql - Guide for writing valid DuneSQL
  • analyze_result - Guide for interpreting query results

Installation

# Install from source
pip install -e .

# Or install dependencies directly
pip install fastmcp>=2.0.0 dune-client>=1.10.0 pydantic>=2.0.0

Configuration

Set your Dune API key as an environment variable:

# Linux/macOS
export DUNE_API_KEY="your-api-key-here"

# Windows Command Prompt
set DUNE_API_KEY=your-api-key-here

# Windows PowerShell
$env:DUNE_API_KEY="your-api-key-here"

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "dune": {
      "command": "python",
      "args": ["-m", "mcp_server_dune"],
      "env": {
        "DUNE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Direct Execution

# Run the server
python -m mcp_server_dune

Usage Examples

Execute a Saved Query

# Run query ID 123456 with parameters
run_query(
    query_id=123456,
    params={"token_address": "0x..."},
    performance="medium",
    limit=50
)

Execute Ad-Hoc SQL

# Run raw DuneSQL
run_sql(
    sql="""
    SELECT DATE_TRUNC('day', block_time) as day,
           COUNT(*) as tx_count
    FROM ethereum.transactions
    WHERE block_time > NOW() - INTERVAL '7' DAY
    GROUP BY 1
    ORDER BY 1
    LIMIT 100
    """,
    performance="medium"
)

Read Cached Results (Zero Credits)

Access the resource dune://query/123456/latest to get cached results without consuming execution credits.

DuneSQL Tips

  • Addresses are bytearrays: use 0x... literals directly
  • Date intervals: NOW() - INTERVAL '7' DAY
  • Prefer decoded tables: uniswap_v3_ethereum.Factory_evt_PoolCreated
  • Always include LIMIT to prevent timeouts

Development

# Clone the repository
git clone https://github.com/your-org/mcp-server-dune
cd mcp-server-dune

# Create virtual environment
python -m venv venv
venv\Scripts\activate  # Windows
# source venv/bin/activate  # Linux/macOS

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

# Run the server locally
python -m mcp_server_dune

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured