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drone-airspace-governance-mcp

v1.0.0

Published

Drone Airspace Governance tools for AI agents. Capabilities: classify operation, bvlos risk assessment, remote id compliance. Built by MEOK AI Labs.

Vulnerabilities

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Links

Git

Maintainers

csga_globalcsga_global

Keywords

Readme

Drone Airspace Governance

By MEOK AI Labs — MEOK AI Labs — Drone AI Governance. FAA Remote ID, EASA U-Space, BVLOS risk assessment. First physical AI governance MCP.

Drone Airspace Governance MCP — MEOK AI Labs. FAA Remote ID, EASA U-Space, autonomous flight compliance.

Installation

pip install drone-airspace-governance-mcp

Usage

# Run standalone
python server.py

# Or via MCP
mcp install drone-airspace-governance-mcp

Tools

classify_operation

Classify drone operation category per EASA/FAA regulations.

Parameters:

  • weight_kg (float)
  • altitude_m (float)
  • bvlos (bool)
  • over_people (bool)
  • autonomous (bool)

bvlos_risk_assessment

SORA 2.5 risk assessment for Beyond Visual Line of Sight operations.

Parameters:

  • distance_km (float)
  • environment (str)
  • weather (str)
  • population (str)

remote_id_compliance

Check FAA Remote ID compliance for drone operations.

Parameters:

  • has_remote_id (bool)
  • broadcast_type (str)

autonomous_decision_governance

Governance check for autonomous drone AI decisions (EU AI Act + aviation safety).

Parameters:

  • decision_type (str)
  • reversible (bool)
  • human_override (bool)

Authentication

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

Links

License

MIT — MEOK AI Labs