Database · MODEL CONTEXT PROTOCOL

shibuiwilliam mcp server data wrangler

shibuiwilliam mcp server data wrangler is a community-listed Model Context Protocol server. Review the source repository before installation.

连接能力

shibuiwilliam mcp server data wrangler 为 AI Agent 提供什么

  • Data aggregation
  • Descriptive statistics
  • Create and activate a virtual environment:
  • Install dependencies:
  • Run tests:

安全

MCP 收录不等于安全审核

MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。

README

仓库文档

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/
在 GitHub 查看 README

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