Enables data wrangling operations including data aggregation and descriptive statistics through Python, allowing for preprocessing, transformation, and analysis of data in standardized ways.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Data Wranglercalculate summary statistics for my sales dataset"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-data-wrangler: MCP server for Data Wrangling
Overview
This is a Model Context Protocol server for Data Wrangling, providing a standardized interface for data preprocessing, transformation, and analysis tasks. It enables seamless integration of data wrangling operations into the MCP ecosystem.
Related MCP server: Violett MCP Server
Features
Data aggregation
Descriptive statistics
Run this project locally
This project is not yet set up for ephemeral environments (e.g. uvx usage). Run this project locally by cloning this repo:
You can launch the MCP inspector via npm:
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
OR Add this tool as a MCP server:
Development
Create and activate a virtual environment:
Install dependencies:
Run tests: