Open Innovation Thunder boltsSubmitted July 18, 2026

TenderWatch

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

About this project

TenderWatch AI is an MCP-powered autonomous agent that analyzes public procurement data, detects suspicious tender patterns, and generates evidence-backed RTI drafts to improve transparency and accountability.

Open Innovation track

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

Live MCP appSource coder/mcptothemoon post

Team Thunder bolts

  • Chethan krishna vasanth thippanaLead

  • Dhiraj Varma

  • Satya Siva Bhargav

  • Gollapalli vasanth kumar

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Frequently asked questions

What does TenderWatch do?
TenderWatch AI is an MCP-powered autonomous agent that analyzes public procurement data, detects suspicious tender patterns, and generates evidence-backed RTI drafts to improve transparency and accountability.
Who built TenderWatch?
TenderWatch was built by team Thunder bolts 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.