log_analyzer_mcp

# Log Analyzer MCP [](https://github.com/djm81/log_analyzer_mcp/actions/workflows/tests.yml) [](https://codecov.io/gh/djm81/log_analyzer_mcp) [](https://pypi.org/project/log-analyzer-mcp) ## Overview: Analyze Logs with Ease **Log Analyzer MCP** is a powerful Python-based toolkit designed to streamline the way you interact with log files. Whether you're debugging complex applications, monitoring test runs, or simply trying to make sense of verbose log outputs, this tool provides both a Command-Line Interface (CLI) and a Model-Context-Protocol (MCP) server to help you find the insights you need, quickly and efficiently. **Why use Log Analyzer MCP?** - **Simplify Log Analysis:** Cut through the noise with flexible parsing, advanced filtering (time-based, content, positional), and configurable context display. - **Integrate with Your Workflow:** Use it as a standalone `loganalyzer` CLI tool for scripting and direct analysis, or integrate the MCP server with compatible clients like Cursor for an AI-assisted experience. - **Extensible and Configurable:** Define custom log sources, patterns, and search scopes to tailor the analysis to your specific needs. ## Key Features - **Core Log Analysis Engine:** Robust backend for parsing and searching various log formats. - **`loganalyzer` CLI:** Intuitive command-line tool for direct log interaction. - **MCP Server:** Exposes log analysis capabilities to MCP clients, enabling features like: - Test log summarization (`analyze_tests`). - Execution of test runs with varying verbosity. - Targeted unit test execution (`run_unit_test`). - On-demand code coverage report generation (`create_coverage_report`). - Advanced log searching: all records, time-based, first/last N records…