TenderWatch

TenderWatch AI is an MCP-powered autonomous agent that analyzes public procurement data, detects suspicious tender patterns, and generates evidence-backed RT…

TenderWatch is an MCP (Model Context Protocol) server that extends AI assistants — like Claude, Cursor, and any MCP-compatible client — with new, real-world capabilities. It is built and deployed on Nitrostack, the fastest way to build, deploy, and share MCP apps.

Table of Contents

• Overview
• What is MCP?
• Features
• Live Demo
• Getting Started
• Connect to an MCP Client
• Deploy Your Own MCP App
• Explore More MCP Apps
• FAQ
• Keywords
• License

Overview

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.

What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to external tools, data sources, and services. Instead of being limited to what it was trained on, an AI model can call MCP servers to fetch live data, run actions, and integrate with real systems.

This project is one such MCP server. Learn more about building and shipping MCP apps at nitrostack.ai.

Features

• 🔌 MCP-native — works with any MCP-compatible client (Claude, Cursor, and more)
• 🛠️ Tools, resources & prompts — exposes structured capabilities to AI agents
• ⚡ Deployed on Nitrostack — reliable, hosted, and instantly shareable
• 🔐 Secure by design — secrets stay in environment variables, never in code
• 🧩 Composable — combine with other MCP apps to build powerful AI workflows

Live Demo

🚀 Live MCP endpoint: https://tenderwatch-a-thunder-bolts-amrita-university-amritapuri-campus.app.nitrocloud.ai

Point your MCP client at the endpoint above to try it instantly. Prefer a hosted setup? Deploy your own in minutes on Nitrostack.

Getting Started

Prerequisites

• Node.js 18+ (or your project runtime)
• An MCP-compatible client (Claude Desktop, Cursor, etc.)

Installation

git clone https://github.com/your-username/your-mcp-project.git
cd tenderwatch
npm install

Configuration

Copy the example environment file and add your own values:

cp .env.example .env

Run

npm run start

Connect to an MCP Client

Add this server to your MCP client configuration. A typical entry looks like:

{
  "mcpServers": {
    "tenderwatch": {
      "url": "https://tenderwatch-a-thunder-bolts-amrita-university-amritapuri-campus.app.nitrocloud.ai"
    }
  }
}

Restart your client and the tools from this MCP server will be available to your AI assistant.

Deploy Your Own MCP App

Want to build and ship an MCP server like this one? Nitrostack lets you create, deploy, and host MCP apps in minutes — no infrastructure to manage.

👉 Start building: https://nitrostack.ai

Explore More MCP Apps

• 🌙 Discover and share MCP projects with the community on r/mcptothemoon
• 🧰 Browse a growing catalog of MCP apps on Nitrostack

FAQ

What is an MCP server?

An MCP server implements the Model Context Protocol to expose tools, resources, and prompts that AI assistants can call. It lets an AI model take real actions and access live data.

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 RT…

Which AI clients does this work with?

Any MCP-compatible client, including Claude Desktop and Cursor. New clients are adding MCP support regularly.

How do I deploy my own MCP app?

Use Nitrostack to build, deploy, and host MCP apps without managing infrastructure.

Keywords

Open Innovation · TenderWatch · MCP · Model Context Protocol · MCP server · MCP app · AI tools · AI agents · LLM tools · Claude MCP · Nitrostack · deploy MCP server · build MCP app

License

MIT © 2026

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Built with ❤️ using the Model Context Protocol on Nitrostack. Share your MCP app on r/mcptothemoon.