csv

This capability allows users to ingest CSV files and transform their data using a model-context-protocol (MCP) server architecture. It utilizes a flexible schema to define how data should be parsed and transformed, enabling integration with various data sources and formats. The server can dynamically adapt to different CSV structures, making it distinct in handling diverse datasets efficiently.

This capability enables users to validate the contents of CSV files against predefined schemas or rules. It employs a rule-based engine that checks for data types, required fields, and value constraints, providing feedback on data quality. This validation process is integrated within the MCP framework, allowing for seamless error handling and reporting.

This capability allows users to export transformed or validated data back into CSV format. It uses a customizable export schema to define how data should be structured in the output CSV, ensuring compatibility with various applications. The export process is optimized for performance, allowing for large datasets to be processed efficiently.