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MCP Data Wrangler

by shibuiwilliam
GitHub
Python
MIT License
1
  • Linux
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
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Integrations

  • 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:

git clone https://github.com/yourusername/mcp-data-wrangler.git cd mcp-data-wrangler

You can launch the MCP inspector via npm:

npx @modelcontextprotocol/inspector uv --directory=src/mcp_data_wrangler run mcp-data-wrangler

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:

{ "data-wrangler": { "command": "uv", "args": [ "--directory", "/path/to/mcp-data-wrangler", "run", "mcp-data-wrangler" ] } }

Development

  1. Create and activate a virtual environment:
python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate
  1. Install dependencies:
pip install -e ".[dev]"
  1. Run tests:
pytest -s -v tests/

License

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

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.

  1. Overview
    1. Features
      1. Run this project locally
        1. Development
          1. License

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