Log Analyzer
Streamlines interaction with log files through a CLI and MCP server, aiding in debugging and monitoring.
About
Log Analyzer is a Python-based toolkit designed to simplify log file analysis. It offers both a command-line interface (CLI) for direct analysis and a Model-Context-Protocol (MCP) server for integration with compatible clients, such as Cursor, enabling AI-assisted insights. The tool supports flexible parsing, advanced filtering, and configurable context display, making it easier to identify and understand critical information within log outputs, whether debugging applications, monitoring test runs, or managing verbose logs.
Key Features
- Advanced log searching capabilities (time-based, content-based, positional).
- MCP Server for client integration, enabling test summarization, test execution, and code coverage report generation.
- Core log analysis engine for parsing and searching log formats.
- Hatch integration for development, testing, and dependency management.
- loganalyzer CLI tool for direct log interaction.
- 0 GitHub stars
Use Cases
- Debugging complex applications by parsing relevant log data.
- Monitoring test runs with varying verbosity levels.
- Integrating log analysis into AI-assisted development environments like Cursor.
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