MCP-Allure

MCP-Allure

MCP-Allure is a MCP server that reads Allure reports and returns them in LLM-friendly formats.

Motivation

As AI and Large Language Models (LLMs) become increasingly integral to software development, there is a growing need to bridge the gap between traditional test reporting and AI-assisted analysis. Traditional Allure test report formats, while human-readable, aren't optimized for LLM consumption and processing.

MCP-Allure addresses this challenge by transforming Allure test reports into LLM-friendly formats. This transformation enables AI models to better understand, analyze, and provide insights about test results, making it easier to:

• Generate meaningful test summaries and insights
• Identify patterns in test failures
• Suggest potential fixes for failing tests
• Enable more effective AI-assisted debugging
• Facilitate automated test documentation generation

By optimizing test reports for LLM consumption, MCP-Allure helps development teams leverage the full potential of AI tools in their testing workflow, leading to more efficient and intelligent test analysis and maintenance.

Problems Solved

• Efficiency: Traditional test reporting formats are not optimized for AI consumption, leading to inefficiencies in test analysis and maintenance.
• Accuracy: AI models may struggle with interpreting and analyzing test reports that are not in a format optimized for AI consumption.
• Cost: Converting test reports to LLM-friendly formats can be time-consuming and expensive.

Key Features

• Conversion: Converts Allure test reports into LLM-friendly formats.
• Optimization: Optimizes test reports for AI consumption.
• Efficiency: Converts test reports efficiently.
• Cost: Converts test reports at a low cost.
• Accuracy: Converts test reports with high accuracy.

Installation

To install mcp-repo2llm using uv:

Tool

get_allure_report

• Reads Allure report and returns JSON data
• Input:
  • report_dir: Allure HTML report path
• Return:
  • String, formatted JSON data, like this: