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Building a Water Usage Monitor with MCP
Artificial Intelligence   Latest   Machine Learning

Building a Water Usage Monitor with MCP

Last Updated on August 29, 2025 by Editorial Team

Author(s): Souradip Pal

Originally published on Towards AI.

A Complete Guide to AI powered Water Conservation

Hey everyone! Today, I want to share something I’ve been working on that combines my passion for AI with a critical real-world problem: water conservation. It’s easy to overlook how much water we use daily, but tracking consumption is the first big step towards making a difference. And trust me, when you bring in the power of AI, things get really interesting.

Building a Water Usage Monitor with MCP

Image caption not provided

This article discusses building a water usage monitor using the Model Context Protocol (MCP) to address water conservation through AI. It highlights the challenges faced with existing solutions and introduces a comprehensive MCP server that tracks water usage, analyzes consumption patterns, and provides AI-powered optimization recommendations. The implementation details include setting up the development environment, managing data, integrating tools, and running tests, emphasizing how effective use of AI can help both residential and commercial applications in achieving water conservation goals.

Read the full blog for free on Medium.

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