Cutaneous Tactile Sensitivity & Mechanical Allodynia (Von Frey) MCP Server
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 Tactile Sensitivity & Mechanical Allodynia (Von Frey) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of cutaneous mechanoreceptive tactile thresholds via Von Frey Semmes-Weinstein monofilaments and mechanical allodynia detection.
flowchart TD
Monofilament["Von Frey Filament Bending Force (Grams / mg)"] --> SW_Formula["Semmes-Weinstein Logarithmic Scaling (log10(10*mg))"]
SW_Formula --> ThresholdStrat["Psychophysical Sensory Stratification"]
ThresholdStrat --> AcuityEngine["Tactile Acuity & Allodynia Scoring"]
AcuityEngine --> Agent["OpenClaw / Hermes Personal Agent Actions"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Clinical Neuro-Psychophysical Standards: Implements validated logarithmic force equations.
Sensory Blunting vs Allodynia Differentiation: Accurately classifies peripheral neuropathy vs central pain sensitization.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: two-point-discrimination
Quickstart
from client import CutaneousTactileVonFreyClient
client = CutaneousTactileVonFreyClient()
result = client.evaluate_tactile_threshold(
applied_force_grams=0.04,
detection_reported=True
)
print("SW Marking:", result["semmes_weinstein_marking"])
print("Classification:", result["classification"])License
Apache-2.0
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