mcp-data-wrangler
by shibuiwilliam
This is a Model Context Protocol server for Data Wrangling. It provides a standardized interface for data preprocessing, transformation, and analysis tasks, enabling seamless integration of data wrangling operations into the MCP ecosystem.
Last updated: N/A
What is mcp-data-wrangler?
This is a Model Context Protocol (MCP) server designed for Data Wrangling. It offers a standardized way to perform data preprocessing, transformation, and analysis within the MCP environment.
How to use mcp-data-wrangler?
To use this server, clone the repository and follow the instructions to launch the MCP inspector or add the tool as an MCP server using the provided JSON configuration. Refer to the development section for setting up a virtual environment and installing dependencies.
Key features of mcp-data-wrangler
Data aggregation
Descriptive statistics
Use cases of mcp-data-wrangler
Data preprocessing in MCP workflows
Data transformation for MCP models
Data analysis within the MCP ecosystem
Standardized data wrangling interface
FAQ from mcp-data-wrangler
What is MCP?
What is MCP?
The README does not define MCP. Please refer to the Model Context Protocol documentation.
What kind of data transformation can I do?
What kind of data transformation can I do?
The README does not specify the types of data transformation supported.
What dependencies are required?
What dependencies are required?
Python and pip are required. See the development section for details.
How do I contribute?
How do I contribute?
The README does not have contribution guidelines.
Where can I find more documentation?
Where can I find more documentation?
The README does not link to additional documentation.