-
securityA
license-
qualityA server that implements the Model Context Protocol, providing a standardized way to connect AI models to different data sources and tools.
Last updated -
1
11
MIT License
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
Create and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
Install dependencies:
pip install -e ".[dev]"
Run tests:
pytest -s -v tests/
License
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