Transforms Allure test reports into LLM-friendly formats and integrates with Jira for automated issue management.
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Allure Analysis is an AI-powered Model Context Protocol (MCP) server designed to streamline test report analysis and issue management. It efficiently transforms complex Allure test reports into LLM-optimized JSON formats, intelligently overcoming context length limitations with various output modes, from concise summaries to detailed reports. This tool seamlessly integrates with Jira Cloud, enabling robust features such as automated bug creation directly from test failures, advanced issue searching via JQL, and streamlined updates, consolidating test analysis and project management into a single, efficient workflow.
Key Features
01Comprehensive Jira Cloud integration for searching, creating, and updating issues
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03Intelligent context management with four output modes (summary, compact, detailed, full) for LLM consumption
04Provides structured, LLM-optimized JSON output from Allure test data
05Automatic detection and parsing of Allure HTML reports and raw results
06Automated creation of pre-formatted Jira bugs directly from test failures
Use Cases
01Streamlining bug reporting by automatically creating Jira issues from test failures
02Efficiently managing and updating Jira issues based on continuous testing results
03Automating the analysis of Allure test reports for AI-driven insights
