Enterprise AI & Workplace Automation AkkandaSubmitted July 18, 2026

NEXUSIQ

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

About this project

🚀 NexusIQ MCP 🤖 AI-Powered Procurement Decision Agent NexusIQ is an MCP-native Agentic AI that helps organizations answer one simple but critical question: "Should I sign this deal?" Instead of following a fixed workflow, NexusIQ reasons like an experienced procurement analyst, deciding what information it needs and dynamically selecting the appropriate MCP capabilities before making a recommendation. 🧠 How It Works 📄 Upload a Procurement Contract ⬇️ 🤖 AI analyzes the contract and reasons about potential risks ⬇️ 🛠️ The agent dynamically decides which MCP capabilities to use 📑 Contract Analyzer 🏢 Vendor Intelligence 💰 Cost Impact Simulator (The agent may use all, some, or none depending on the contract.) ⬇️ 📚 Retrieves Vendor Knowledge through MCP Resources ⬇️ 💡 Generates negotiation strategies using MCP Prompts ⬇️ ✅ Provides a final procurement recommendation ✔️ Sign ✏️ Renegotiate ❌ Don't Sign Along with: 📌 Key contract clauses 🏢 Vendor insights 💵 Financial impact estimates 🤝 Negotiation recommendations ⚡ Why NexusIQ? Unlike traditional document-analysis tools, NexusIQ doesn't execute a predefined pipeline. It reasons before acting, choosing the right MCP Tools, Resources, and Prompts based on the contract's content—making every analysis adaptive, context-aware, and genuinely agentic. 🛠️ MCP Components 🔧 Tools 📑 Contract Analyzer 🏢 Vendor Intelligence 💰 Cost Impact Simulator 📚 Resource 🗂️ Vendor Knowledge Base 💬 Prompt 🤝 Negotiation Assistant 🎯 Goal Demonstrate how Model Context Protocol (MCP) enables AI agents to intelligently interact with external tools and knowledge sources, helping enterprises make faster, smarter, and more confident procurement decisions. I actually like ending it with a short tagline: 🧠 Think. Analyze. Negotiate. Decide. NexusIQ transforms procurement from a checklist into an intelligent conversation.

Enterprise AI & Workplace Automation track

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

Live MCP appSource code

Team Akkanda

  • VOLUKULA GnanasaiLead

  • Akepati Premnath

  • Yashwant

  • Sasikar Pamujula

← All Amrita University Amritapuri campus projects

Frequently asked questions

What does NEXUSIQ do?
🚀 NexusIQ MCP 🤖 AI-Powered Procurement Decision Agent NexusIQ is an MCP-native Agentic AI that helps organizations answer one simple but critical question: "Should I sign this deal?" Instead of following a fixed workflow, NexusIQ reasons like an experienced procurement analyst, deciding what information it needs and dynamically selecting the appropriate MCP capabilities before making a recommendation. 🧠 How It Works 📄 Upload a Procurement Contract ⬇️ 🤖 AI analyzes the contract and reasons about potential risks ⬇️ 🛠️ The agent dynamically decides which MCP capabilities to use 📑 Contract Analyzer 🏢 Vendor Intelligence 💰 Cost Impact Simulator (The agent may use all, some, or none depending on the contract.) ⬇️ 📚 Retrieves Vendor Knowledge through MCP Resources ⬇️ 💡 Generates negotiation strategies using MCP Prompts ⬇️ ✅ Provides a final procurement recommendation ✔️ Sign ✏️ Renegotiate ❌ Don't Sign Along with: 📌 Key contract clauses 🏢 Vendor insights 💵 Financial impact estimates 🤝 Negotiation recommendations ⚡ Why NexusIQ? Unlike traditional document-analysis tools, NexusIQ doesn't execute a predefined pipeline. It reasons before acting, choosing the right MCP Tools, Resources, and Prompts based on the contract's content—making every analysis adaptive, context-aware, and genuinely agentic. 🛠️ MCP Components 🔧 Tools 📑 Contract Analyzer 🏢 Vendor Intelligence 💰 Cost Impact Simulator 📚 Resource 🗂️ Vendor Knowledge Base 💬 Prompt 🤝 Negotiation Assistant 🎯 Goal Demonstrate how Model Context Protocol (MCP) enables AI agents to intelligently interact with external tools and knowledge sources, helping enterprises make faster, smarter, and more confident procurement decisions. I actually like ending it with a short tagline: 🧠 Think. Analyze. Negotiate. Decide. NexusIQ transforms procurement from a checklist into an intelligent conversation.
Who built NEXUSIQ?
NEXUSIQ was built by team Akkanda at the Amrita University Amritapuri campus 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.