Yash Sonawane

Posted on Mar 25

NotionOps AI — I Built an AI DevOps Brain That Lives Inside Notion 🧠

#devchallenge #notionchallenge #mcp #ai

Notion MCP Challenge Submission 🧠

This is a submission for the Notion MCP Challenge

What I Built

Every developer knows this pain:

It’s 11 PM. A production bug hits.

You jump between GitHub → Jira → Slack → Notion → Terminal…
Five tools. Zero clarity.

This constant context switching is a hidden tax on every engineering team.

So I built NotionOps AI — an AI-powered DevOps brain that lives inside Notion.

👉 It automatically connects:

GitHub activity
AI analysis (Claude)
Notion workspace

And turns them into a single source of truth.

What It Does

Every commit, PR, and issue → automatically becomes a task
Critical issues → instantly become incidents
Deployments → logged without manual work
Daily standups → generated automatically

Notion becomes your team’s central nervous system. AI does the rest.

Live Demo Flow

Developer pushes: hotfix: null pointer in payment gateway
GitHub webhook triggers
AI detects CRITICAL severity
A P0 incident page is created in Notion
A high-priority task is generated
AI standup updates automatically next morning

💡 Result:
No manual updates. No missed incidents. No confusion.

Show us the code

👉 GitHub Repository:
https://github.com/yashsonawane25/NotionOps-AI

Repo includes:

MCP server (10 tools)
FastAPI webhook system
AI analysis engine
Notion integration layer
Local simulation script

How I Used Notion MCP

Notion MCP is the core backbone of this system — not just an add-on.

I designed a 4-database architecture inside Notion:

1. Tasks Database

Auto-created from GitHub events
Includes priority, category, and status
No manual input required

2. Deployments Database

Tracks every deployment
Stores environment, version, and status

3. Incidents Database

Auto-created for critical issues
Includes severity (P0/P1), description, and logs

4. AI Digest Database

Daily standups generated automatically
AI reads tasks → writes summary

MCP Tools (Core Innovation)

I exposed 10 tools via MCP, including:

analyze_commit
analyze_pr
create_task
log_incident
log_deployment
generate_standup
query_project
process_github_push

🔥 Killer Feature: `process_github_push`

One function does everything:

➡️ Analyze commit
➡️ Create task
➡️ Detect severity
➡️ Trigger incident (if critical)

🧠 AI Query Feature (Game Changer)

You can literally ask:

“What are our highest priority tasks?”

And get a real-time answer from Notion.

No dashboards. No filters. Just ask.

Architecture

GitHub Webhook
      │
      ▼
FastAPI Server
      │
      ▼
Claude AI Analysis
      │
      ▼
MCP Server
      │
      ▼
Notion API

Tech Stack

Python
FastAPI
MCP SDK
Claude API (Anthropic)
Notion API
Pydantic

Running It Yourself

git clone https://github.com/yashsonawane25/NotionOps-AI
cd NotionOps-AI
pip install -r requirements.txt
cp .env.example .env

# Add your API keys

uvicorn webhook_server:app --reload --port 8000

# Run simulation
python test_simulate.py

What I Learned

MCP forces clean, modular design
Async processing is critical for webhooks
Notion works surprisingly well as a DevOps backend
Simulation scripts save massive dev time

What’s Next

Bidirectional sync (Notion → GitHub)
AI-based velocity tracking
Weekly executive reports
On-call automation

Final Thought

I didn’t want to build a demo.

I built something I would actually use in a real DevOps team.

NotionOps AI = GitHub + AI + Notion → Fully automated DevOps workflow

The best DevOps system is the one that works… even when you don’t.

Credits

Built by Yash Sonawane
B.Tech — GH Raisoni College of Engineering & Management, Pune

GitHub: https://github.com/yashsonawane25

DEV Community

NotionOps AI — I Built an AI DevOps Brain That Lives Inside Notion 🧠