The Problem: Professionals waste valuable time manually organizing unstructured meeting notes, prioritizing task backlogs, and formatting action plans across multiple tools.
The Solution: A modular Python MCP server exposing agentic tools (organize_tasks, summarize_workspace_context, export_action_plan) that allow a simulated Alexa+ interface to intelligently orchestrate workflows and deliver copy-ready Markdown action plans in seconds.
Frontend: Streamlit conversational interface with a live MCP Event Inspector sidebar for real-time tool execution tracking. Orchestrator: Google Gemini API (gemini-3.8-flash / gemini-1.5-flash) utilizing function calling to select and execute backend MCP tools dynamically. Backend: Custom Model Context Protocol (MCP) Python server handling task parsing, context summarization, and Markdown formatting. Architecture: Spec-First methodology backed by comprehensive documentation (scope.md, prd.md, spec.md).
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