Building an AI-Powered Backlog Manager with MCP, Gemini 2.5, and Notion

The Problem As a developer, I often have "lightbulb moments" for projects but struggle with the initial overhead of breaking them down into actionable tasks. I wanted a way to turn a single sentence into a structured, prioritized Kanban board and a set of GitHub issues in seconds. The Solution: AI-Backlog-Manager I built an MCP (Model Context Protocol) server that acts as a bridge between high-level project ideas and your development workspace. By leveraging Google Gemini 2.5 Flash, the system decomposes a project idea into critical development phases and pushes them directly into Notion and GitHub simultaneously. System Architecture The project follows a decoupled architecture, ensuring that the AI logic, the protocol server, and the database integration remain modular. The Client: MCP Inspector (for testing and manual triggers). The Server : A Python-based FastMCP server that orchestrates the workflow. The Intelligence : Google Gemini 2.5 Flash, utilizing the latest google-genai SDK