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mcp-data-wrangler: MCP server for Data Wrangling

mcp-data-wrangler: MCP server for Data Wrangling

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github.com/shibuiwilliamData & Analytics8Updated 82w ago
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About mcp-data-wrangler: MCP server for Data Wrangling

mcp-data-wrangler provides an MCP interface for data preprocessing, transformation, and analysis. Its documented capabilities include data aggregation and descriptive statistics.

Key features

  1. 01Data aggregation
  2. 02Descriptive statistics

Use cases

  1. 01Aggregate data through an MCP client
  2. 02Produce descriptive statistics through an MCP client

MCP support

It is an MCP server that exposes data-wrangling operations to MCP clients; the README names aggregation and descriptive statistics.

#mcp-server#data-wrangler#data-preprocessing

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "data-wrangler": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}
Run commandnpx -y @modelcontextprotocol/inspector

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@modelcontextprotocol/inspector

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.