Open Innovation The BenchwarmersSubmitted July 18, 2026

Pulse: An MCP Server that plugs into the Human Body

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

About this project

Pulse gives AI the context it’s been missing: you. Through a Pixel Watch, companion app, and open NitroStack MCP server, Pulse connects your speech and heart rate to AI agents in real time. It can recover your next line, detect moments of stress, summarize conversations, and reveal how your confidence changes throughout a presentation. Unlike closed smartwatch platforms, Pulse keeps your data encrypted, user-controlled, and open to any AI experience developers can imagine.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Live MCP appSource code

Team The Benchwarmers

  • Nishtha JainLead

    X

  • Hridesh MG

    X

  • Bellamkonda Teja Sai Charan

  • Ajul T.M

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Frequently asked questions

What does Pulse: An MCP Server that plugs into the Human Body do?
Pulse gives AI the context it’s been missing: you. Through a Pixel Watch, companion app, and open NitroStack MCP server, Pulse connects your speech and heart rate to AI agents in real time. It can recover your next line, detect moments of stress, summarize conversations, and reveal how your confidence changes throughout a presentation. Unlike closed smartwatch platforms, Pulse keeps your data encrypted, user-controlled, and open to any AI experience developers can imagine.
Who built Pulse: An MCP Server that plugs into the Human Body?
Pulse: An MCP Server that plugs into the Human Body was built by team The Benchwarmers at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the Open Innovation 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.