MCP Server Implementation

Example Use Cases

• 1

  Extract and analyze specific columns from parquet files efficiently.

• 2

  Sort and process log files based on timestamps.

• 3

  Compress files and obtain compression statistics.

Description

The MCP Server offers a suite of tools to handle various data formats and operations such as reading specific columns from parquet files, sorting log files by timestamps, compressing files using gzip, and analyzing CSV files with pandas. It supports robust error handling and provides detailed results and statistics for each operation. The server is built with FastAPI and designed for easy deployment and testing in a virtual environment.