Analyzes log files by creating an SQLite database and interacting with it using the Model Context Protocol (MCP) SQLite server.
This project provides a streamlined solution for analyzing log data. It includes tools to create an SQLite database from compressed log files, enabling efficient querying and analysis. The database schema is structured with tables for logs, stack traces, and parsing errors, making it easy to identify patterns and troubleshoot issues. The tool also integrates with MCP SQLite server, allowing for interaction with the database via MCP.