● VPC & Zero-Trust Ready IEEE Track 7: Digital Health Standards Track 3: Agentic AI

Sovereign Freshwater Surveillance &
HL7 FHIR v4.0.1 Protocol Mesh

AquaShield MCP connects real-time urban aquatic telemetry into the One Health continuum. By bridging biological 4-Parameter Logistic (4PL) bioassays with HL7 FHIR DiagnosticReports, municipal health authorities receive sub-second alerts when toxic sewage or chemical spills occur.

Quickstart Execution

Python 3.10+ • FastMCP Certified

pip install aquashield-mcp
python -m aquashield_mcp

📦 PyPI Package Official Release → GitHub Repository →

✓ Canonical FHIR Schema (200 OK) →

Verified Runtime Telemetry & Micro-Benchmarks

Stress-tested over 10,000 algorithmic cycles with zero floating-point divergence (< 1e-9).

TOOL 1: 4PL Toxicity Model ~134k ops/sec

Latency: 0.0074 ms per evaluation

Boundary precision at EC50 = 50.000000% with exact Hill slope equilibrium.

TOOL 2: NSF Water Quality Index ~51k ops/sec

Latency: 0.0195 ms per evaluation

Weights verified: DO(0.40) + pH(0.35) + Turbidity(0.25) == 1.00.

TOOL 3: GDPR Citizen Privacy Sanitizer ~8k ops/sec

Latency: 0.1249 ms per packet

SHA-256 salted 64-bit entropy truncation prevents contributor deanonymization.

TOOL 4: HL7 FHIR v4.0.1 Engine ~2,664 bundles/sec

Bundle Generation: 0.3753 ms

Bound to LOINC 41852-5, 56475-7, SNOMED-CT 264353000, and Canonical Schema.

Medical & Ecological Interoperability Standards

Conforming to official IEEE 11073 and EU Digital Health profiles.

HL7 FHIR v4.0.1 Transaction Bundles: Transmits DiagnosticReport and Observation resources in real-time directly to hospital EHR systems (Epic, Cerner, NHS).
LOINC Standard Terminology: Uses 41852-5 (Microbiology in water culture) and 56475-7 (Escherichia coli concentration).
SNOMED CT Semantic Classification: Mapped to 264353000 (Environmental Contamination Hazard).
Canonical Dereferenceable Schema: Backed by live StructureDefinition at https://developers.seosiri.com/fhir/extensions/edge-provenance.

Agentic Client Configuration (Claude Desktop & Cursor AI)

Direct integration via Model Context Protocol JSON-RPC daemon.

Add this block to your claude_desktop_config.json:

{
  "mcpServers": {
    "aquashield-mcp": {
      "command": "python",
      "args": ["-m", "aquashield_mcp", "--server"]
    }
  }
}

Production Deployment & Containerization ● Docker Hub Certified (~85MB)

Multi-architecture deployment for municipal river buoys, edge gateways, and Kubernetes.

🐳 Official Docker Image

hub.docker.com ↗

docker pull seosiri/aquashield-mcp:latest
docker run --rm -it seosiri/aquashield-mcp:latest

Pre-compiled Alpine multi-stage micro-container (~85MB) containing complete FastMCP runtime, 4PL toxicology models, and HL7 FHIR serializers.

🔒 Private VPC & Zero-Trust Mesh

Attach directly to isolated municipal telemetry subnets (10.240.0.0/16) via Cloudflare Zero Trust tunnel egress. Built-in mutual TLS (mTLS) prevents MITM packet tampering on field buoys.

Sovereign Freshwater Surveillance & HL7 FHIR v4.0.1 Protocol Mesh