This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Acoustic Startle Reflex Prepulse Inhibition (%PPI), sensorimotor gating integrity, and environmental sensory overload vulnerability.
flowchart TD
Acoustic["Acoustic Stimulus (Prepulse + Pulse Pairs)"] --> EMG_Reflex["Electromyography / Startle Reflex Peak Extraction"]
EMG_Reflex --> PPI_Math["%PPI Equation & Lead Interval Calibration"]
PPI_Math --> Gating["Sensorimotor Gating & Distractibility Scoring"]
Gating --> Agent["OpenClaw / Hermes Personal Agent Actions"]Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Neurophysiological Standard Formulas: Implements validated prepulse startle suppression equations.
Cognitive Distraction Stratification: Quantitative evaluation of sensory filtering resilience in noisy environments.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Auditory Binaural Masking Level Difference (BMLD) MCP Server
from client import AcousticStartlePPIClient
client = AcousticStartlePPIClient()
result = client.evaluate_prepulse_inhibition(
pulse_alone_amplitude=135.0,
prepulse_pulse_amplitude=38.0,
lead_interval_ms=100.0
)
print("PPI Percentage:", result["ppi_percentage"], "%")
print("Classification:", result["classification"])Apache-2.0
This server cannot be deployed
Crypto market signals and portfolio telemetry. 6 tools pay-per-call in USDC, no API key.
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
Deterministic wet-lab calculators and lab document templates, with checked notebook entries.
Stress recovery protocols via Lightning payments: post-concussion, post-COVID, burnout
