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.
WHAT IT CONNECTS
What shibuiwilliam mcp server data wrangler gives an AI Agent
- Data aggregation
- Descriptive statistics
- Create and activate a virtual environment:
- Install dependencies:
- Run tests:
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
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.
- Data aggregation
- Descriptive statistics
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-wranglerYou can launch the MCP inspector via npm:
npx @modelcontextprotocol/inspector uv --directory=src/mcp_data_wrangler run mcp-data-wranglerUpon 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"
]
}
}- 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/COMMUNITY