This is a submission for the Notion MCP Challenge
What I Built
I built an AI-powered Bug Tracker that automates the process of logging and organizing application errors using Notion as a centralized system.
Developers can send error messages through a simple API endpoint, and the system processes them by categorizing each issue (Frontend, Backend, Database, or API) and generating a suggested fix.
Each error is then automatically stored in a structured Notion database with its category, solution, and status. This removes the need for manual tracking and keeps debugging workflows clean and organized.
The goal of this project is to turn raw error messages into structured, actionable data and demonstrate how developer workflows can be automated using Notion as a backend.
Video Demo
Watch how errors are analyzed and automatically logged into Notion π
Show us the code
GitHub Repository:
https://github.com/Nani-Hatake/ai-bug-tracker
How I Used Notion MCP
I used Notion as a backend database by integrating it through the Notion API.
Whenever an error is sent to the application, it is processed and stored as a new entry in a Notion database with structured fields like error message, category, suggested fix, and status.
This transforms Notion into a lightweight bug tracking system, enabling a centralized and automated workflow for managing errors efficiently.
Tech Stack
- Node.js
- Express.js
- Notion API
- dotenv
Key Features
- Automatically logs errors into Notion
- Categorizes issues (Frontend, Backend, Database, API)
- Stores suggested fixes
- Centralized bug tracking system
Future Improvements
- Integrate a real LLM for smarter error analysis
- Add a frontend UI
- Enable status updates (Open β Fixed)
- Add search and filtering
Final Thoughts
This project shows how integrating a backend system with Notion can create a simple yet powerful workflow automation tool. It highlights how structured data and automation can significantly improve developer productivity.
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