mne-mcp-guard

Make MNE-Python MCP analysis robust by preventing common neurophysiology-pipeline failures before they happen and diagnosing them when they do. Use when an EEG/MEG/iEEG analysis should run defensively: avoiding unit mistakes (volts vs microvolts), montage/position errors, ICA non-convergence, time-frequency wavelet-length errors, empty/over-rejected epochs, wrong event codes, slow-step timeouts, or unsupported file…