Log Analyzer

Analyzes Python application logs with time-based and pattern filtering, pytest output parsing, and code coverage report generation for debugging and quality monitoring workflows.

This MCP server provides powerful log analysis capabilities for Python development workflows, offering both a command-line interface and MCP server integration for AI assistants. Built with a flexible core analysis engine that supports time-based filtering (last N minutes/hours/days), positional filtering (first/last N records), and configurable content pattern matching across multiple log levels, it enables developers to quickly parse pytest test outputs, search runtime error logs, and generate code coverage reports. The implementation features environment-based configuration through .env files with support for named logging scopes, context line extraction around matches, and integration with hatch for test execution and coverage generation, making it valuable for debugging complex applications, monitoring test runs, and maintaining code quality in Python projects.