A mcp server that bridges Dune Analytics data to AI agents.
What is dune-analytics-mcp
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
.env
file in the project root:DUNE_API_KEY=your_api_key_here
Alternatively, set it as a system environment variable:
export DUNE_API_KEY="your_api_key_here"
Usage
Running the Server
-
Development Mode:
mcp dev main.py
This 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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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