dune-analytics-mcp
A mcp server that bridges Dune Analytics data to AI agents.
{
"kukapay-dune-analytics-mcp": {
"command": "mcp",
"args": [
"dev",
"main.py"
],
"env": {
"DUNE_API_KEY": "your_api_key_here"
}
},
"kukapay-dune-analytics-mcp-claude-install": {
"command": "mcp",
"args": [
"install",
"main.py",
"--name",
"Dune Analytics"
],
"env": {
"DUNE_API_KEY": "your_api_key_here"
}
}
}Dune Analytics MCP Server
A mcp server that bridges Dune Analytics data to AI agents.
Features
- Tools:
get_latest_result: Fetch the latest results of a Dune query by ID.run_query: Execute a Dune query by ID and retrieve results.
- CSV Output: All results are returned as CSV-formatted strings for easy processing.
Prerequisites
- Python 3.10+
- A valid Dune Analytics API key (get one from Dune Analytics)
Installation
Installing via Smithery
To install Dune Analytics for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kukapay/dune-analytics-mcp --client claude
Manual Installation
-
Clone the Repository:
git clone https://github.com/kukapay/dune-analytics-mcp.git cd dune-analytics-mcp -
Set Up Environment Variables:
Create a.envfile in the project root:DUNE_API_KEY=your_api_key_hereAlternatively, set it as a system environment variable:
export DUNE_API_KEY="your_api_key_here"
Usage
Running the Server
-
Development Mode:
mcp dev main.pyThis starts the server with hot reloading for development.
-
Install for Claude Desktop:
mcp install main.py --name "Dune Analytics"Installs the server as a service for use with Claude Desktop.
Tool Usage
-
get_latest_result(query_id)- Description: Retrieves the latest results of a specified Dune query.
- Input:
query_id(int) - The ID of the Dune query. - Output: CSV-formatted string of the query results.
- Example:
get_latest_result(query_id=4853921)
-
run_query(query_id)- Description: Executes a Dune query and returns the results.
- Input:
query_id(int) - The ID of the Dune query to run. - Output: CSV-formatted string of the query results.
- Example:
run_query(query_id=1215383)
Example Commands in Claude Desktop
- "Get latest results for dune query 1215383"
- "Run dune query 1215383"
License
This project is licensed under the MIT License - see the LICENSE file for details.
Dune Analytics MCP Server
A mcp server that bridges Dune Analytics data to AI agents.
Features
- Tools:
get_latest_result: Fetch the latest results of a Dune query by ID.run_query: Execute a Dune query by ID and retrieve results.
- CSV Output: All results are returned as CSV-formatted strings for easy processing.
Prerequisites
- Python 3.10+
- A valid Dune Analytics API key (get one from Dune Analytics)
Installation
Installing via Smithery
To install Dune Analytics for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kukapay/dune-analytics-mcp --client claude
Manual Installation
-
Clone the Repository:
git clone https://github.com/kukapay/dune-analytics-mcp.git cd dune-analytics-mcp -
Set Up Environment Variables:
Create a.envfile in the project root:DUNE_API_KEY=your_api_key_hereAlternatively, set it as a system environment variable:
export DUNE_API_KEY="your_api_key_here"
Usage
Running the Server
-
Development Mode:
mcp dev main.pyThis starts the server with hot reloading for development.
-
Install for Claude Desktop:
mcp install main.py --name "Dune Analytics"Installs the server as a service for use with Claude Desktop.
Tool Usage
-
get_latest_result(query_id)- Description: Retrieves the latest results of a specified Dune query.
- Input:
query_id(int) - The ID of the Dune query. - Output: CSV-formatted string of the query results.
- Example:
get_latest_result(query_id=4853921)
-
run_query(query_id)- Description: Executes a Dune query and returns the results.
- Input:
query_id(int) - The ID of the Dune query to run. - Output: CSV-formatted string of the query results.
- Example:
run_query(query_id=1215383)
Example Commands in Claude Desktop
- "Get latest results for dune query 1215383"
- "Run dune query 1215383"
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related MCP Servers
markitdown-mcp
Python tool for converting files and office documents to Markdown.
fetch
Model Context Protocol Servers
memory
Model Context Protocol Servers
mindsdb
AI Analytics Engine that can answer questions over large scale data. - The only MCP Server you'll ever need
fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients
screenpipe
AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording
