Unlocking Your Earning Potential with the Model Context Protocol (MCP)

I remember the first time I heard about the Model Context Protocol, or MCP for short. It felt like stumbling upon a hidden treasure map in a world overflowing with AI noise. With Google Trends showing MCP’s skyrocketing visibility, overtaking even well-known tools like ChatGPT, I realized that those who understood MCP would have a significant advantage in the rapidly evolving AI landscape.

After diving into over 300 MCP servers and consuming countless hours of content, I can confidently say there are three practical ways to leverage MCP for profit right now. Whether you’re a complete beginner or someone looking to enhance your skills, you can tap into MCP using simple, no-code tools. Let’s break it down.

Understanding MCP: A Recipe Book for AI Agents

Before delving into the “how,” let’s clarify what MCP actually is. Imagine you’re in a kitchen trying to whip up a dish. You have a recipe book that tells you what ingredients to use and the steps to follow. MCP is that recipe book for AI agents.

Traditionally, chatbots like ChatGPT have acted as middlemen, directing you on actions but unable to perform them independently. For example, if you wanted to order food, a chatbot would tell you where to go, but it wouldn’t place the order for you. On the other hand, MCP is designed to help AI agents directly execute these actions across various applications by standardizing how they communicate with those applications.

While doing my research, I stumbled upon how MCP makes working with applications like Gmail much simpler. It organizes the chaos of various app functionalities into a single, streamlined node, which allows AI agents to execute multiple actions with ease.

The MCP Gold Rush: Three Pathways to Profit

1. Create an MCP App Store

The idea of an MCP app store, akin to how app stores work today, is still in its infancy. Imagine a marketplace where businesses can discover different MCP applications that integrate seamlessly with their existing tools. While this idea is exciting, it’s not without challenges, particularly identifying how users will discover these apps.

2. Develop MCP Apps

If you have coding skills, building specific MCP applications for well-known companies is a lucrative option. Large brands like McDonald’s, needing to connect their services to AI agents, will increasingly look for developers who can help establish their MCP presence.

The barriers here are somewhat high; however, if you’re willing to invest time learning through resources like the official MCP documentation, this could be a great opportunity.

3. Build an AI Agent Using MCP

This is the pathway I find most accessible, especially if you are new to the tech space. With no-code tools, you can build an AI agent capable of executing specific tasks, like generating leads from Google Maps, leveraging the MCP structure.

Real-World Example: Building an “Infinite Leads AI Agent”

For this demonstration, let’s say you want to create an AI agent that collects leads from Google Maps. Here’s how you can do it:

1. Use N8N: A no-code automation tool that allows you to build workflows easily.
2. Setup Self-Hosting: Use a platform like Railway to set up N8N in a few simple steps. This way, you can connect to the MCP servers.
3. Create Your Workflow: Design a workflow that uses the MCP client to pull in relevant leads based on specific keywords or locations.
4. Add Google Drive Integration: Configure your agent so it can save the collected data to Google Drive for easy access.

Imagine asking your AI agent to find restaurants in New York City and receiving a neatly organized CSV file, complete with contact info and lead scores, without needing to lift a finger.

What I’d Do If I Started Today

If I could rewind to the start of my journey with MCP, I’d:

• Focus on Learning: Dive into resources available in communities dedicated to AI.
• Experiment with No-Code Tools: Prioritize hands-on experience with tools like N8N.
• Network: Engage with others in the field to share insights and collaborative ideas.

The fun lies in being part of something new and transformative. The MCP is still gaining traction, and the early adopters can carve out lucrative niches.

Closing Thoughts

MCP represents a new frontier in how we interact with technology. By embracing its principles, you can unlock new earning potential and cement your position at the forefront of the AI realm.

Though it’s easy to feel overwhelmed by the fast-paced nature of AI development, remember that taking the first step is often all you need to start a rewarding journey.

If you’re curious about building systems that save you from burnout and free up your time, I created something that might help. It’s a small online course called Automation by RoboNuggets, where I share the exact tools and workflows I wish I knew earlier. You can check it out here, only if it feels right for you.

Explore, experiment, and enjoy the journey. Your future self might just thank you for it.