Metadata-Version: 2.4
Name: aquashield-mcp
Version: 1.0.0
Summary: Autonomous freshwater surveillance MCP server mapping urban water bioassay telemetry directly into HL7 FHIR v4.0.1 DiagnosticReports
Author-email: Momenul Ahmad <info@seosiri.com>
Project-URL: Homepage, https://developers.seosiri.com
Project-URL: Bug Tracker, https://github.com/SEOSiri-Official/aquashield-mcp/issues
Project-URL: Documentation, https://developers.seosiri.com/#docs
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: fastmcp>=0.1.0

# AquaShield MCP: Sovereign Multi-Agent Water Quality Surveillance & FHIR Interoperability Network

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)

[![FHIR](https://img.shields.io/badge/FHIR-v4.0.1-orange.svg)](https://hl7.org/fhir/)

[![IEEE](https://img.shields.io/badge/IEEE-11073--10101-brightgreen.svg)](https://standards.ieee.org/)

[![Model Context Protocol](https://img.shields.io/badge/MCP-Protocol-purple.svg)](https://modelcontextprotocol.io/)

AquaShield MCP is an autonomous Model Context Protocol (MCP) surveillance network connecting urban freshwater bioassay telemetry directly to **IEEE 11073** and **HL7 FHIR v4.0.1** digital health standards for municipal early-warning outbreak response.

Built for the **OneAquaHealth IEEE Global Hackathon 2026** (Track 7: Digital Health Standards & Track 3: AI-Supported Assessment).

---

## Key Features

- **4PL Non-Linear BioAssay Regression:** Computes chemical and microplastic cell viability curves using the 4-Parameter Logistic Hill equation.
- **National Sanitation Foundation (NSF) WQI:** Geometric weighted indexing of DO, pH, turbidity, and water temperature.
- **HL7 FHIR v4.0.1 Conformance:** Transforms raw water sensor streams into valid `DiagnosticReport` and `Observation` bundles with LOINC (`41852-5`, `56475-7`) and SNOMED-CT (`264353000`) identifiers.
- **Canonical Edge Provenance:** Backed by a canonical FHIR `StructureDefinition` at [https://developers.seosiri.com/fhir/extensions/edge-provenance](https://developers.seosiri.com/fhir/extensions/edge-provenance).
- **EU GDPR Privacy Interlocks:** Automatic SHA-256 geolocation salting for citizen science monitoring.

---

## Quickstart

```bash
# Clone the repository
git clone https://github.com/SEOSiri-Official/aquashield-mcp.git

cd aquashield-mcp

# Install dependencies
pip install -r requirements.txt

# Run the autonomous surveillance pipeline
python aquashield_mcp.py
```

---

# AquaShield MCP Benchmark Suite

An automated diagnostic, efficiency, and micro-benchmark framework for the AquaShield Model Context Protocol (MCP) toolset. This module executes stress tests against the foundational environmental engineering, toxicology, and medical-informatics functions to verify latency, floating-point precision, data privacy sanitizers, and HL7 FHIR compliance.

**Repository Source:** `SEOSiri-Official/aquashield-mcp`

## Benchmark Specifications & Tools Evaluated

The benchmark script rigorously stress-tests 4 primary functional domains within the AquaShield ecosystem over thousands of iterations:

### 1. 4PL Toxicology Model (`compute_4pl`)

- **Purpose:** Evaluates the mathematical limits of the Four-Parameter Logistic regression curve used for toxicity and eco-dose response tracking.
- **Verification Targets:**
  - Latency tracking per mathematical calculation loop.
  - Boundary Precision validation at precisely EC₅₀ (theoretical target: **50.000000%**).
  - Floating-point numerical drift prevention (`< 1e-9` zero-divergence threshold).

### 2. NSF Water Quality Index (`compute_wqi`)

- **Purpose:** Validates multi-metric sub-index aggregation algorithms for Dissolved Oxygen (DO), pH, and Turbidity.
- **Verification Targets:**
  - Dynamic Range evaluation across polar extremes (Pristine vs Hazard).
  - Hardened sub-index multiplier integrity check:
    - DO `(0.40)` + pH `(0.35)` + Turbidity `(0.25)` ≡ `1.00`.

### 3. GDPR Citizen Privacy Sanitizer (`sanitize_geo`)

- **Purpose:** Measures telemetry anonymization through 64-bit truncated SHA-256 cryptographic masking.
- **Verification Targets:**
  - High-throughput processing speeds for citizen geographic tracking payloads.
  - Idempotency checking to ensure zero-collision tracking with a deterministic framework.

### 4. HL7 FHIR v4.0.1 Transaction Engine (`build_fhir_bundle`)

- **Purpose:** Validates generation mechanics for clinical transactional bundles tying water safety data straight to Electronic Health Record (EHR) schemas.
- **Verification Targets:**
  - Real-time generation throughput for structured JSON payloads.
  - Strict terminology binding validation for:
    - LOINC Codes: `41852-5` (Microbiology) & `56475-7` (E. Coli Observation)
    - SNOMED CT: `264353000` (Environmental Contamination Hazard)
  - URI mapping compliance via `developers.seosiri.com`.

---

## Running the Audit Suite

To execute the micro-benchmarks directly and output performance telemetry, run:

```bash
python benchmark_audit.py
```

## Verified Runtime Output

```text
======================================================================
 AQUASHIELD MCP: TOOL EFFICIENCY, STRENGTH & BENCHMARK AUDIT
======================================================================

[TOOL 1: 4PL Toxicity Model]

 • Latency per call : 0.0074 ms (~134,423 ops/sec)
 • Boundary Precision: Response at EC50 = 50.000000% (Theoretical: 50.000000%)
 • Numerical Drift   : < 1e-9 (Zero floating-point divergence)

[TOOL 2: NSF Water Quality Index (WQI)]

 • Latency per call : 0.0195 ms (~51,191 ops/sec)
 • Dynamic Range    : Pristine = 98.0 (EXCELLENT) | Hazard = 26.85 (POOR)
 • Weights Verified : DO(0.40) + pH(0.35) + Turbidity(0.25) == 1.00

[TOOL 3: GDPR Citizen Privacy Sanitizer]

 • Latency per call : 0.1249 ms (~8,009 ops/sec)
 • Collision Safety : SHA-256 with 16-hex truncation (64-bit entropy)
 • Determinism Check: 100% Idempotent (Deterministic salt preserves analytical aggregation)

[TOOL 4: HL7 FHIR v4.0.1 Transaction Engine]

 • Bundle Generation: 0.3753 ms (~2,664 bundles/sec)
 • LOINC Codes      : 41852-5 (Microbiology), 56475-7 (E. Coli Observation)
 • SNOMED CT        : 264353000 (Environmental Contamination Hazard)
 • Canonical URI    : https://developers.seosiri.com/fhir/extensions/edge-provenance

======================================================================
 BENCHMARK SUMMARY: SUB-MILLISECOND LATENCY & 0% FLOATING-POINT DRIFT
======================================================================
```

## Architecture & Ecosystem

AquaShield MCP is engineered as part of the SEOSiri Open-Source MCP Infrastructure.

- **Master Portal:** https://developers.seosiri.com
- **Lead Systems Architect:** Momenul Ahmad (badhan_pbn@yahoo.com / info@seosiri.com)
