$ loading_
Detect electric motor faults predictively from stator current signal analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-mcsa" yet — see the docs or source repo.
Analyze this motor stator current dataset and use spectral analysis to determine whether broken rotor bars are present. Report the key fault frequencies, confidence level, and reasoning.
A diagnosis stating whether broken rotor bars are present, with key spectral features and supporting explanation.
Perform envelope analysis on this motor stator current signal to determine whether bearing defects exist, and summarize anomalous features, likely fault type, and severity.
A bearing fault detection result including anomalous features, suspected fault type, and severity assessment.
Using this stator current sample data, check whether the motor has eccentricity issues and provide the relevant frequency features, health assessment, and follow-up maintenance recommendations.
An eccentricity analysis report describing whether an issue exists, the related features, and recommended maintenance actions.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Analyze disk images with AI through MCP for fast forensic investigation.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Diagnose system issues, monitor resources, inspect logs, and test connectivity.
Batch analyze impedance data with ECM fitting and DRT computation.
Securely connect to and operate MySQL databases through the MCP protocol.