Skip to main content
Glama
Alpha-Park

genpark-personal-agent-dynamic-hrv-dfa-alpha1-intensity-fractal-skill

by Alpha-Park
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Dynamic DFA Alpha-1 Fractal HRV & Aerobic Threshold Skill

GenPark LinkedIn Python License

An industrial-grade Model Context Protocol (MCP) server providing compute_dfa_alpha1_aerobic_threshold. Built with 100% pure Python standard library (zero pip dependencies).

Overview

Calculates short-term Detrended Fluctuation Analysis (DFA a1) fractal scaling of RR-intervals, pinpointing the precise aerobic threshold (a1 = 0.75) during endurance exertion.

Related MCP server: intervals.mcp

MCP Tool Specification

compute_dfa_alpha1_aerobic_threshold

Parameters:

  • rr_intervals_ms (list): Series of beat-to-beat RR intervals (ms) during sustained exercise

  • current_power_watts (float): Current mechanical power output (Watts) or velocity

  • current_heart_rate_bpm (float): Concurrent heart rate in bpm

Self-Test

python skills.py --test

Model Context Protocol Integration (Claude Desktop / Cursor / Antigravity)

Add to your mcpServers configuration:

{
  "mcpServers": {
    "genpark-personal-agent-dynamic-hrv-dfa-alpha1-intensity-fractal-skill": {
      "command": "python",
      "args": ["/path/to/genpark-personal-agent-dynamic-hrv-dfa-alpha1-intensity-fractal-skill/skills.py"]
    }
  }
}

License

Licensed under Apache License 2.0. Copyright (c) 2026 GenPark Inc. (https://www.genpark.ai).

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • Running Formulas MCP Server

    st3v
    A
    license
    A
    quality
    D
    maintenance
    Provides comprehensive running performance calculations including VDOT, training paces, race time predictions, velocity markers, and heart rate zones using Jack Daniels, Greg McMillan, and Riegel methodologies.
    9
    MIT

  • intervals.mcp

    ryansheppard
    F
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to access and analyze intervals.icu training data including activities, fitness metrics (CTL/ATL/TSB), wellness stats, and calendar events. Supports natural language querying of athletic performance for training insights and workout planning.
    6
    -

  • garmin-mcp

    mskerwiderski
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables reading and analyzing Garmin Connect data—activities, health metrics, FIT files, and challenges—through natural language, for AI assistants like Claude and ChatGPT.
    MIT