two-point-discrimination
Provides carpal tunnel ergonomics and sensory training guidance to Hermes/OpenClaw based on spatial tactile acuity scores from two-point discrimination assessments.
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 Two-Point Discrimination (2PD) Skill
A sovereign personal agent capability for computational tactile psychophysics, evaluating static and moving cutaneous two-point discrimination (2PD in mm), Merkel/Meissner spatial receptive density, and peripheral nerve health.
Architecture
flowchart TD
TouchData["Tactile Discrimination Trials: Discriminated Distance (mm) & Success Ratio"] --> WeberEngine["Weber Static 2PD Classification Engine (Normal <= 5mm, Fair 6-10mm, Poor 11-15mm)"]
TouchData --> MovingEngine["Dellon Dynamic Moving 2PD vs Static Dissociation Engine"]
WeberEngine & MovingEngine --> STAS["Spatial Tactile Acuity Score (STAS: 0 - 100)"]
STAS --> ErgonomicPrescription["OpenClaw / Hermes Carpal Tunnel Ergonomics & Sensory Training"]Related MCP server: cutaneous-microcirculation
Quickstart
from client import TwoPointDiscriminationClient
client = TwoPointDiscriminationClient()
# Assess static 2PD threshold at fingertip
res = client.evaluate_static_2pd(
smallest_discriminated_distance_mm=3.2,
anatomical_site="fingertip_pulp",
correct_response_ratio=0.875
)
print("Discriminated Distance:", res["discriminated_distance_mm"], "mm")
print("Acuity Score:", res["spatial_tactile_acuity_score"], "/ 100")
print("Classification:", res["classification"])
print("Guidance:", res["actionable_guidance"])MCP Server Integration
Add to your claude_desktop_config.json or OpenClaw tool registry:
{
"mcpServers": {
"two-point-discrimination": {
"command": "python",
"args": ["/path/to/genpark-personal-agent-cutaneous-two-point-discrimination-skill/mcp_server.py"]
}
}
}License
MIT License.
This server cannot be deployed
Maintenance
Related MCP Connectors
Affect analysis, 3D avatar params, empathy hints and somatic emotion decode.
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
Helps people name what they feel: 796 feeling words and a body map of 243 sensations.
Simulated people experience what you are making and report what they noticed and felt.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables assessment of tear film breakup dynamics, Ocular Protection Index, blink behavior, and digital asthenopia risk during screen work, returning corneal exposure analysis and ergonomic microbreak/blink coaching recommendations.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables analysis of cutaneous laser Doppler thermal hyperemia, axon-reflex peaks, and endothelial nitric oxide bioavailability, generating CVC metrics, microvascular health scores, and classification guidance.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables evaluation of angular vestibulo-ocular reflex gain, bilateral semicircular canal asymmetry, corrective catch-up saccades, and gaze stabilization, with vestibular adaptation exercise prescriptions.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables evaluation of tactile temporal discrimination thresholds from paired-pulse staircase data, including age-adjusted normative comparisons, cortical somatosensory gating indices, clinical tiers, and sensorimotor recovery directives.7MIT