Enterprise AI & Workplace Automation AIBotsSubmitted July 26, 2026

Meeting AI — Agentic Meeting Follow-Through, Automated

An MCP app on the Model Context Protocol built by AIBots at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

An MCP server that turns raw meeting transcripts into summaries, correctly-owned action items, tasks, and follow-ups — as one autonomous agentic chain, not a manual checklist.

Enterprise AI & Workplace Automation track

Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.

Source code

Team AIBots

  • Anushka SajimonLead

  • Renuka Bandepalli

  • Nishitha Kamalapathi

  • BALLA DHARANI

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Frequently asked questions

What does Meeting AI — Agentic Meeting Follow-Through, Automated do?
An MCP server that turns raw meeting transcripts into summaries, correctly-owned action items, tasks, and follow-ups — as one autonomous agentic chain, not a manual checklist.
Who built Meeting AI — Agentic Meeting Follow-Through, Automated?
Meeting AI — Agentic Meeting Follow-Through, Automated was built by team AIBots at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Enterprise AI & Workplace Automation track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.