Model Context Protocol (MCP) has emerged as a game changer – a new standard that lets AI systems plug into your app’s capabilities seamlessly. This isn’t just a technical nice-to-have; it’s quickly becoming a must-have and should be at the top of your backlog. I will tell you why…
This is where AI’s real strength shows up. When it can sit on top of your data, search across it, and explain what it means in simple language. When it scans timelines, tickets, and transactions, flags anomalies, explains why they matter, and proposes actions – before the issue becomes a fire.
Connecting to AI agents empowers non-technical users with AI-Driven workflows & Save development effort while keeping your app clean. How often have you gotten a feature request from a customer (or colleague if speaking about internal system) that’s very specific – useful to them, but not broadly enough to justify full development? Many SaaS teams struggle with building niche features or custom reports that only a handful of clients might use. With an MCP integration, you have an elegant solution: let AI handle those “long tail” requests , instead of you building them into the core product.
MCP is universal. It is already standardized and supported by ChatGPT, Microsoft’s Copilot, Anthropic Claude, open-source agent frameworks. You are not experimenting or risking here.
It keeps you Ahead of Your Competition. Building an MCP connector is a strategic move: it signals to the market and your customers that your app is ahead of the curve. The AI revolution is here, and users will gravitate towards solutions that integrate smoothly with their AI driven workflows. By offering an MCP integration, you differentiate your product as part of that next generation of software. Conversely, if your competitor’s SaaS gets integrated into ChatGPT and yours doesn’t, guess which one an AI-assisted user is likely to prefer?
Finally, OpenAI has indicated that developers will be able to monetize their ChatGPT apps. So if you want to be listed on ChatGPT (and you should want it), you will need MCP anyway.
I am showcasing MCP connection of resourceplanner tool to AI agent and possible use cases in the video below. I hope, this inspired you.
