CSV Editor

Provides pandas-powered CSV file operations including data loading, filtering, transformation, statistical analysis, and quality validation through a session-based architecture with auto-save capabilities and support for multiple formats.

CSV Editor MCP server by Santosh Ray provides AI assistants with pandas-powered CSV file operations including data loading, filtering, transformation, statistical analysis, and quality validation through a session-based architecture. Built with FastMCP and featuring auto-save capabilities, operation history tracking, and support for multiple formats (CSV, Excel, Parquet), the implementation offers tools for data cleaning, outlier detection, correlation analysis, and schema validation with comprehensive error handling and type safety. Designed for data analysts, researchers, and AI workflows requiring robust CSV manipulation capabilities, it serves use cases like data preprocessing pipelines, exploratory data analysis, and automated data quality assessment where pandas functionality needs to be accessible through conversational AI interfaces.