Ubuntu patient care MCP server

​💚 Ubuntu Patient Care: Ending Admin Burnout ​Ubuntu Patient Care radically solves the \mathbf{20+} weekly hours medical staff lose fighting \mathbf{71} disparate SA medical scheme portals. This admin waste delays patient care and causes burnout. ​Our \mathbf{MCP} \mathbf{Server} automates complex tasks, transforming \mathbf{10}-\mathbf{minute} checks into \mathbf{30}-\mathbf{second} results via deep partner integration: ​🔵 Google AI (\mathbf{Gemini} / \mathbf{Vertex} \mathbf{AI}): \mathbf{Gemini} acts as the intelligent assistant, handling complex requests ("Check Mrs. Ndlovu's MRI benefits"). \mathbf{Vertex} \mathbf{AI} provides \mathbf{TPU}-accelerated fine-tuning for our \mathbf{Whisper} \mathbf{STT} model on \mathbf{SA} medical jargon, guaranteeing \mathbf{+8.5\%} accuracy improvement over the base. ​🟣 Opus (\mathbf{AppliedAI}): \mathbf{Opus} defines the \mathbf{auditable}, \mathbf{compliant} \mathbf{workflow} for \mathbf{AI} \mathbf{model} \mathbf{updates}. Data is synced via clinic-friendly Google Drive (not GCS buckets), which triggers the traceable \mathbf{Opus} pipeline for training and deployment—addressing the \mathbf{Auditable} \mathbf{Workflow} challenge. ​🔷 Qdrant: Powers a local \mathbf{RAG} (\mathbf{Retrieval}-\mathbf{Augmented} \mathbf{Generation}) system, indexing \mathbf{SA} \mathbf{medical} \mathbf{protocols} and \mathbf{POPIA} \mathbf{documents}. This provides doctors with instant, context-aware compliance and treatment advice, complete with source document IDs. ​Local Automation: Uses \text{Puppeteer} and \text{Selenium} to reliably execute \text{Gemini}'s commands across the fragmented \mathbf{71} portals. ​Impact: By minimizing friction, we save significant staff time (R1 Billion annually in lost productivity) and enable healthcare workers to focus on patients. Our architecture is \mathbf{Offline}-\mathbf{First} but \mathbf{Cloud}-\mathbf{Intelligent}, making enterprise \text{AI} accessible to the most remote clinics