MCP ExplorerExplorer

Mcp Server Data Wrangler

@shibuiwilliamon a year ago
6 MIT
FreeCommunity
AI Systems
# MCP Server The MCP server is used for data processing, supporting data preprocessing and analysis.

Overview

What is Mcp Server Data Wrangler

mcp-server-data-wrangler is a Model Context Protocol server designed for Data Wrangling, providing a standardized interface for data preprocessing, transformation, and analysis tasks within the MCP ecosystem.

Use cases

Use cases include preparing datasets for machine learning, generating descriptive statistics for reports, and integrating data wrangling processes into larger data workflows.

How to use

To use mcp-server-data-wrangler, clone the repository from GitHub, navigate to the project directory, and launch the MCP inspector using npm or add it as an MCP server in your configuration.

Key features

Key features include data aggregation and descriptive statistics, allowing users to perform essential data wrangling operations efficiently.

Where to use

mcp-server-data-wrangler can be used in various fields such as data science, analytics, and any domain requiring data preprocessing and transformation.

Content

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

Tools

No tools

Comments

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