What does Mcp Allure Server do?
It reads Allure HTML test reports and returns their data as structured JSON, making test results easier for large language models to process and analyze.
@crisschan
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-allure-server": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/Users/crisschan/workspace/pyspace/mcp-allure/mcp-allure-server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Mcp Allure Server is an MCP server that reads Allure test reports and returns them in LLM-friendly formats. It is designed for development teams who want to leverage AI tools for test analysis by converting traditional Allure reports into structured JSON data optimized for processing by large language models.
Install using uv by adding the provided configuration to your MCP client settings. Invoke the get_allure_report tool with the path to an Allure HTML report directory; the server returns the report data as formatted JSON.
It reads Allure HTML test reports and returns their data as structured JSON, making test results easier for large language models to process and analyze.
Install it using `uv` with the MCP configuration snippet provided in the README. The command runs a Python script (`mcp-allure-server.py`) that implements the server.
It provides a single tool called `get_allure_report`. This tool takes a `report_dir` parameter (the path to an Allure HTML report) and returns the report data as a JSON string containing test suites, test cases, and steps.
The data comes from local Allure HTML report directories specified by the user when calling the tool. The server reads these files and transforms them into the output format.
The server requires Python and the `uv` package manager to run. It is invoked via the command line using the `mcp` CLI included in the `mcp` package.
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