dynamic-postural-stability
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.
Dynamic Postural Stability Index (DPSI) Skill
A sovereign personal agent capability for computational biomechanics, evaluating the Dynamic Postural Stability Index (DPSI), jump-landing shock dissipation, and time to stabilization.
Architecture
flowchart TD
ForceData["Triaxial Force Plate Data: GRF_x (AP), GRF_y (ML), GRF_z (Vert)"] --> DirectionalCalc["Directional Stability Engine (APSI, MLSI, VSI)"]
DirectionalCalc --> DPSIEngine["Composite DPSI = sqrt((sum GRFx² + sum GRFy² + sum(GRFz-BW)²) / (N*BW²))"]
ForceData --> TTS["Time to Stabilization Engine (Settling within ±5% BW)"]
DPSIEngine & TTS --> DynamicScore["Dynamic Stability Score & Impact Load Multiplier"]
DynamicScore --> Guidance["OpenClaw / Hermes Plyometric Deceleration Directives"]Related MCP server: physiological-tremor
Quickstart
from client import DynamicPosturalStabilityClient
client = DynamicPosturalStabilityClient()
# Example triaxial landing series (Newtons)
fx = [25.0, 15.0, -10.0, 5.0, 0.0]
fy = [18.0, 10.0, -8.0, 3.0, 0.0]
fz = [1450.0, 1100.0, 850.0, 720.0, 705.0]
res = client.calculate_dpsi(fx, fy, fz, body_weight_newtons=700.0, landing_duration_sec=3.0)
print("Composite DPSI:", res["dpsi"])
print("Impact Load Multiplier:", res["impact_load_multiplier"], "x BW")
print("Time to Stabilization:", res["time_to_stabilization_sec"], "s")
print("Status:", res["status"])MCP Server Integration
Add to your claude_desktop_config.json or OpenClaw tool registry:
{
"mcpServers": {
"dynamic-postural-stability": {
"command": "python",
"args": ["/path/to/genpark-personal-agent-dynamic-postural-stability-index-skill/mcp_server.py"]
}
}
}License
MIT License.
This server cannot be deployed
Maintenance
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