Cutaneous Vibration Perception Threshold (VPT) Skill
Provides OpenClaw / Hermes personal agents with Rydel-Seiffer vibration perception threshold scores, age-adjusted classifications, and pallesthesia results for use in subsequent agent actions.
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.
Cutaneous Vibration Perception Threshold (VPT) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Cutaneous Vibration Perception Threshold (VPT), Rydel-Seiffer tuning fork pallesthesia, and large-fiber sensory neuropathy.
flowchart TD
TuningFork["64 Hz Rydel-Seiffer Tuning Fork / Biothesiometer"] --> VisualScale["Visual Triangle Mark (0 - 8 Scale)"]
VisualScale --> AgeNorm["Age-Adjusted Normative Cutoff Engine"]
AgeNorm --> PallesthesiaScore["Pacinian Corpuscle & Pallesthesia Scoring"]
PallesthesiaScore --> Agent["OpenClaw / Hermes Personal Agent Actions"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Clinical Neurological Standards: Implements validated age-dependent Rydel-Seiffer cutoff formulas.
Hand-Arm Vibration & Large-Fiber Screening: Non-invasive assessment of Pacinian mechanoreceptive integrity.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: stdt-temporal-discrimination
Quickstart
from client import VibrationPallesthesiaClient
client = VibrationPallesthesiaClient()
result = client.evaluate_vibration_threshold(
rydel_seiffer_reading=7.5,
age_years=32.0
)
print("Pallesthesia Score:", result["pallesthesia_sensory_score"])
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
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