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optometry-ai-safety-mcp

v1.0.0

Published

Optometry Ai Safety automation via MCP. Includes classify optometry device, check fda samd, ce marking checklist. By MEOK AI Labs.

Downloads

104

Vulnerabilities

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  • 0Medium
  • 0Low

Links

Git

Maintainers

csga_globalcsga_global

Keywords

mcpaimeok

Readme

Optometry AI Safety

By MEOK AI Labs — FDA SaMD and CE marking compliance for ophthalmic AI devices

Installation

pip install optometry-ai-safety-mcp

Usage

python server.py

Tools

classify_optometry_device

Classify an optometry AI device under EU MDR and FDA risk categories based on intended use.

Parameters:

  • intended_use (str): Device purpose: screening, diagnosis, surgical_planning, monitoring
  • device_name (str): Device name

check_fda_samd

Check FDA Software as Medical Device (SaMD) classification for ophthalmic AI.

Parameters:

  • device_function (str): Device function description
  • clinical_situation (str): Clinical situation severity

ce_marking_checklist

Generate CE marking compliance checklist for optometry devices.

Parameters:

  • risk_class (str): Risk class: Class IIa, Class IIb, Class III
  • device_type (str): Device type (default: "software")

ophthalmic_bias_audit

Audit ophthalmic AI for demographic bias across age, ethnicity, and conditions.

Parameters:

  • datasets (list): List of dataset descriptions with demographic info
  • target_condition (str): Target medical condition

Authentication

Free tier: 15 calls/day. Upgrade at meok.ai/pricing for unlimited access.

License

MIT — MEOK AI Labs