MCP Allure MCP Server

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

Local serverstdio

What is the MCP Allure MCP server?

MCP-Allure is a MCP server that reads Allure reports and returns them in LLM-friendly formats. The mcp allure mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 7 defined tools rather than through you.

What it actually does

  • 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

Its toolset

Everything the assistant can do here goes through one of these:

  • 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
  • Conversion — Converts Allure test reports into LLM-friendly formats
  • Optimization — Optimizes test reports for AI consumption
  • Input — - report_dir: Allure HTML report path
  • Return — - String, formatted JSON data, like this:

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

When to reach for it

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Allure's toolset — Efficiency, Accuracy, Cost and 4 more — is a fair guide to whether it matches your workflow. It is maintained by crisschan; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP Allure's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp allure mcp server does with a few real requests.

Available tools

ToolWhat it does
EfficiencyTraditional test reporting formats are not optimized for AI consumption, leading to inefficiencies in test analysis and maintenance.
AccuracyAI models may struggle with interpreting and analyzing test reports that are not in a format optimized for AI consumption.
CostConverting test reports to LLM-friendly formats can be time-consuming and expensive.
ConversionConverts Allure test reports into LLM-friendly formats.
OptimizationOptimizes test reports for AI consumption.
Input- report_dir: Allure HTML report path
Return- String, formatted JSON data, like this:

How to install the MCP Allure MCP server

{
  "mcpServers": {
    "mcp-allure-server": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/Users/crisschan/workspace/pyspace/mcp-allure/mcp-allure-server.py"
      ]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use MCP Allure to Efficiency.
  • Use MCP Allure to Accuracy.
  • Use MCP Allure to Cost.

Frequently asked questions

It connects MCP Allure to MCP-compatible AI assistants such as Claude and Cursor, exposing 7 tools (Efficiency, Accuracy, Cost, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Allure directly.