mcp-data-wrangler: MCP server for Data Wrangling
Description
# 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…
About
# 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 *…
Details
- Author
- shibuiwilliam
- GitHub stars
- 8
- Downloads
- 242
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- Data aggregation
- Descriptive statistics
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-data-wrangler: MCP server for Data WranglingCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, then launch the MCP inspector with npx @modelcontextprotocol/inspector uv --directory=src/mcp_data_wrangler run mcp-data-wrangler. Alternatively, add the server to your MCP configuration using the uv command with the --directory argument pointing to the cloned path.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-data-wrangler: mcp server for data wrangling": {
"mcp-server-data-wrangler": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory=src/mcp_data_wrangler",
"run",
"mcp-data-wrangler"
]
}
}
}
}McpServers
{
"mcp-server-data-wrangler": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory=src/mcp_data_wrangler",
"run",
"mcp-data-wrangler"
]
}
}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
2. Install dependencies:
pip install -e ".[dev]"
3. Run tests:
pytest -s -v tests/
License
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