I kept seeing MCP everywhere and kinda nodded along without really getting it, so I spent the weekend figuring it out. Sharing the simple version in case anyone else is in the same spot. MCP (Model Context Protocol) is basically a standard plug that lets an AI like Claude talk to your tools. Instead of building a custom integration every time, you connect an MCP server once and the AI can use it. Think USB-C but for AI apps. Why it matters for us: n8n now has an MCP Server Trigger and an MCP Client Tool node. So your n8n workflows can be called by Claude as tools, and your AI agents in n8n can use other MCP servers. 3 ways I think this is actually useful for client work: 1. Turn workflows you already built into tools. Got a "create invoice" or "add lead to CRM" workflow? Expose it with the MCP Server Trigger and the client can just ask Claude to do it in plain English. 2. Internal assistant for the team. Connect their Google Drive, calendar, and CRM through MCP and the team gets one chat where they can ask "what's the status on the Smith job" instead of digging through 4 apps. 3. Keep a human in the loop. Let the AI read and draft freely, but anything that sends, pays, or deletes goes through an approval step. Clients feel way safer and honestly so do I lol. Resources if you want to dig in: What MCP is (official): https://modelcontextprotocol.io n8n MCP Server Trigger docs: https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger/ List of ready made MCP servers: https://github.com/modelcontextprotocol/servers Still learning this myself so if I got something wrong, correct me. Has anyone here shipped an MCP setup for a client yet? Would love to know what it was and if they actually used it

I’m Mohit. My team and I have run an AI automation agency for 3 years. One client saved $2M+ with the systems we built and We are doing $10k to $15k Per month. This community is for anyone who wants to build AI systems businesses pay for, and start their own AI agency. Start here: 1. Go to Classroom and grab the Claude Skills and n8n templates. 2. Comment below: your name, where you’re from, and what you want to build. Coming soon: the free 7-Day AI Agency Challenge, zero to your first offer. Help each other, ask anything, no spam. Glad you’re here🫡.

New video 👇 https://www.youtube.com/watch?v=XdTut-hTL8g I wanted one place where me and my team can manage projects, workflows and revenue, so I just built my own dashboard with Claude. I show the whole build from scratch, and believe me you don't need any coding knowledge for this. You can build it for your own business or sell it to clients, works both ways. Watch it and tell me what SaaS you would build first

New video is up 👇 https://www.youtube.com/watch?v=jrtwiHJJyV0 This is the Google review automation we built for a collision repair shop with 13 locations. It's live for them right now. Main problem before this was the staff was just not asking customers for reviews, so we automated the whole thing. It sends the review request on email + SMS, checks the email is real before sending, follows up if they forget, replies to Google reviews with AI, and if someone leaves a low star review the manager sees it first. I removed all the client stuff from it so you guys can use it. JSON file is attached, import it in n8n and replace everything that says YOUR_ with your own details. Full setup steps are in Classroom > N8N Templates. You can easily sell this for $3k-5k + monthly retainer. Any doubt, comment here and I'll help you out.

So many people build automations because they seem fun or interesting. But if you want to build something people will actually pay for, ask these five questions first. 1. How often does the task happen? Daily or weekly tasks are usually better because the time savings add up quickly. 2. How many people do this task? Automating a task that five people do can bring more value than automating something only one person does. 3. What happens when something goes wrong? Think about missed invoices, late contracts, or lost leads. The cost of these mistakes helps you understand how much your automation is worth. 4. Does it follow rules or need human judgment? Tasks that follow clear rules are easier to automate. If someone needs to think carefully every time, it may be better to leave that task alone for now. 5. Can you build it with existing tools? If you can use tools that already exist, the project will usually be faster and cheaper. Custom code often adds more cost and risk. When talking to a potential client, don't start by selling your service. Ask them, “What task takes up most of your time every week?” Then ask, “What happens when that task doesn't get done?” Their answers can help you find a problem worth solving. Now, how do you decide what to charge? First, work out how much the problem costs each month. Include the time spent on the task and the cost of mistakes. For example, if a task takes 10 hours a week and the person's time is worth $30 per hour, that's around $1,200 per month. If your automation costs $1,500 and removes most of that work, the client could recover the cost in a few weeks. Once you have a few ideas, compare them based on two things: how much value they bring and how easy they are to build. Start with the automations that offer the most value and take the least effort. Before building your next automation, run it through these five questions. Which of the five questions does your idea struggle with the most?