CampusFlow AI — Project Development Update
I’m excited to share the progress of CampusFlow AI, an MCP-powered developer productivity workspace I built independently for the Amazon Developer Hackathon.
What I built:
- Task management with priorities, deadlines, completion, and deletion.
- Developer intelligence to prioritize tasks and recommend the next action.
- Sprint planning and a focus timer.
- A conversational assistant for productivity commands.
- An MCP server exposing seven productivity tools through Streamable HTTP.
Tech Stack: React, Vite, Node.js, Express, MCP SDK, and Zod.
I deployed the frontend on Vercel and the backend on Render, then tested the deployed MCP integration using MCP Inspector.
Building this project gave me hands-on experience with MCP architecture, API integration, deployment, debugging, and AI-powered development workflows.
This is an important milestone in my journey as a developer, and I’m excited to keep learning and improving.
Live Demo: https://campus-flow-ai-fawn.vercel.app/ MCP Endpoint: https://campusflow-ai-3n9r.onrender.com/mcp
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