MCP-Allure is a MCP server that reads Allure reports and returns them in LLM-friendly formats.
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.
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 maintenanceAccuracy — AI models may struggle with interpreting and analyzing test reports that are not in a format optimized for AI consumptionCost — Converting test reports to LLM-friendly formats can be time-consuming and expensiveConversion — Converts Allure test reports into LLM-friendly formatsOptimization — Optimizes test reports for AI consumptionInput — - report_dir: Allure HTML report pathReturn — - String, formatted JSON data, like this: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.
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.
| Tool | What it does |
|---|---|
| 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: |
{
"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.
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