A
licenseNot graded
qualityB
maintenanceEnables agents to compute deterministic constriction kinetics, autonomic tone, and alertness metrics from pupillometry inputs through native JSON-RPC tool integration.
7
MIT
Ocular Microsaccade Rate & Fixational Fatigue MCP Server
by Alpha-Park
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.
Ocular Microsaccade Rate & Fixational Fatigue Skill
Zero-dependency sovereign personal agent skill for evaluating ocular fixational microsaccade rate (Hz), main sequence velocity kinetics, involuntary ocular drift, and mental vigilance fatigue.
flowchart TD
GazeFixation["High-Resolution Visual Fixation Stream"] --> DetectMS["Microsaccade Detection (Amp 0.1-0.8 deg)"]
DetectMS --> RateCalc["Microsaccade Rate (Hz = Count / Sec)"]
DetectMS --> MainSeq["Main Sequence Ratio (Q = Vmax / Amp)"]
GazeFixation --> DriftCalc["Involuntary Inter-Saccadic Slow Drift Velocity"]
RateCalc & MainSeq & DriftCalc --> VigilanceEngine["Cognitive Alertness & Ocular Fatigue Engine"]
VigilanceEngine --> Agent["OpenClaw / Hermes Personal Agent Intervention"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Ocular Kinematics Standards: Implements validated equations for fixational microsaccade frequency, main sequence velocity scaling, and ocular drift velocity.
Mental Fatigue & Drowsiness Screening: Sensitive detection of central vigilance drops and microsleep risks during prolonged cognitive effort.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Quantitative Pupillary Light Reflex (PLR) Skill
Quickstart
from client import OcularMicrosaccadeRateClient
client = OcularMicrosaccadeRateClient()
result = client.evaluate_microsaccade_dynamics(
fixation_duration_sec=30.0,
microsaccade_count=54,
mean_amplitude_deg=0.35,
mean_peak_velocity_deg_s=15.2,
mean_drift_velocity_deg_s=0.32
)
print("Microsaccade Rate:", result["microsaccade_rate_hz"], "Hz")
print("Alertness Score:", result["fixational_alertness_score"])
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
Related MCP Connectors
Eight metered machine-intelligence tools for AI agents with native x402 payment paths.
Market regime, execution-cost, bar-QC and backtest-audit tools for agents. Pay per call via x402.
AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
63 pay-per-call tools for agents: vision, text, data, web, blockchain. USDC on Base via x402.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables LLMs and autonomous agents to compute validated pupillometric metrics—constriction velocity, amplitude percentage, and redilation rate—and assess autonomic balance and central nervous system alertness through deterministic JSON-RPC tools.7MIT
- AlicenseNot gradedqualityBmaintenanceProvides deterministic JSON-RPC tools for calculating angular VOR gain from head and eye velocity, quantifying corrective saccades, and assessing gaze stability for LLM and autonomous agent workflows.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to evaluate smooth pursuit velocity gain, retinal velocity error, and saccadic substitution kinetics through deterministic JSON-RPC tools. It supports visual fatigue and attention biomarker analysis using standard-library Python calculations.7MIT
