Enables data wrangling operations including data aggregation and descriptive statistics through Python, allowing for preprocessing, transformation, and analysis of data in standardized ways.
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.
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:
License
Tools
A Model Context Protocol server for data wrangling that provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics.
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