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Analyze mechanical test data in natural language and generate reports
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Auto-Manager MCP" yet — see the docs or source repo.
Please read this mechanical test CSV file, summarize each channel's max, min, mean, and standard deviation, and identify channels with abnormal fluctuations.
Returns per-channel statistics and highlights channels with unusual variation or notable behavior.
Run spectrum analysis and rainflow counting on this TDMS test file, and explain the main frequency components and potential fatigue load characteristics.
Outputs dominant frequency information, rainflow counting results, and a brief explanation of fatigue-related characteristics.
Generate a test analysis report from this MDF file, including channel statistics, thermal state detection conclusions, and a summary of key findings.
Generates a structured test report summarizing statistics, thermal state assessment, and key conclusions.
Data analysts or researchers can use natural language to quickly inspect channel statistics, abnormal fluctuations, and overall patterns in CSV, TDMS, or MDF test files. This reduces manual data screening time.
In mechanical or durability testing, users can run spectrum analysis and rainflow counting to identify dominant frequency components and potential fatigue load characteristics. This is useful for initial evaluation of test results.
When test conclusions need to be documented, users can have the tool generate a report from the data file, summarizing statistics, thermal state detection results, and key findings. This helps improve reporting efficiency.
It is used to analyze mechanical test data files through natural language. Based on the provided info, it supports channel statistics, spectrum analysis, rainflow fatigue counting, thermal state detection, and report generation.
The provided description mentions support for CSV, TDMS, and MDF files. For any other formats, see the source repository.
The current material does not provide installation steps, runtime requirements, or API key details. Please see the source repository for exact prerequisites.
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