5 MCP connectors for your online business

Your AI can write a great answer about your business all day. What it usually can't do is open the tool where the work lives and change something. MCP is the connector that closes that gap: it lets an assistant like Claude or ChatGPT read your real data and take a real action, instead of you copying things back and forth.

If you came from the video, that's the idea. Here's the part that doesn't fit in sixty seconds: the five I'd add first, one wired up end to end for a real shop, a checklist to copy before you connect anything, and the ways this goes wrong so you skip that version.

The five I'd connect first

You don't need all of these. Pick the one that touches the next job on your list, connect it, and ask the AI to do one real thing. Add the next when a job actually calls for it.

One shop, wired up

"Connect the tool that touches the next job" is easy to nod at and hard to act on, so here's a concrete one. Say you run a small candle shop, Ember & Oak, doing maybe forty orders a week. You have Claude open and you connect one thing: Commas, because payments are where your real numbers live.

Now the questions you used to answer by exporting a spreadsheet become a sentence. "Which three scents sold best last month, and which had the most refunds?" The AI reads it from your Commas account and tells you the cedar candle sells the most units but gets returned twice as often, a product problem you'd miss in the topline number. "Make a payment link for a three-candle fall bundle at 42 dollars" and you get a link back, ready to drop into a post.

Then you add Canva, because now you need to sell that bundle. You ask for four Instagram posts and a product graphic in your existing brand, and you get editable drafts instead of a blank canvas. Two connectors, the two halves of one job: Commas knows what to sell, Canva makes the thing that sells it. You didn't build a system. You connected tools you already pay for and let the AI move between them.

Connect your first one

Before you connect anything, run this. It's short on purpose, and every line is one I've regretted skipping at least once. Read only, then read and write, then anything that spends money, in that order.

[ ] I picked the ONE tool that touches my next real job
[ ] I connected with read-only access first, if the tool offers it
[ ] I confirmed the AI can see my real data by asking one factual question
[ ] Any action that sends, charges, refunds, or publishes needs my sign-off
[ ] My API keys are pasted into the connection, never into the chat itself
[ ] I know which account this is connected to (test vs. live, if that exists)
[ ] I ran one real request and checked the result against the source myself

Once a connector is live, the fastest way to see if it's actually reading your data (and not making things up) is to ask it something you already know the answer to. Here's the prompt I run first every time.

Using the [tool] connection, not your general knowledge:
- Pull the [specific thing I can verify, e.g. last 5 orders / most recent invoice].
- Show me the exact figures and dates you found.
- If you can't access it or a field is empty, say so. Don't fill the gap.

Then, in one line: what account or workspace are you connected to?

What goes wrong

Every one of these has bitten me or someone I've helped, and none is about the AI being dumb.

The numbers look wrong, or too good. Almost always it's revenue versus profit. A connector like Commas reports what came in, not what you kept, so "you made 4,000 dollars last month" is sales before fees, refunds, and ad spend. Ask for the metric you actually care about by name, and for the real keep-rate, my guide on how much an AI business actually keeps walks through it.

It gives you a confident answer from nothing. If the connection quietly failed or the account is empty, some models fall back on general knowledge and hand you a plausible number that isn't yours. That's why the first prompt above forces it to say "I can't access this." Trust the connector only after you've caught it admitting when it can't see something.

You gave it more access than the job needed. The temptation is to connect everything with full permissions on day one. Don't. A read-only connector can't accidentally refund a customer or publish a half-finished post. Turn on write access when a specific job needs it, and keep send-money and publish actions behind your sign-off in the tool's own settings, not just in the prompt.

Your API keys ended up somewhere they shouldn't. Keys go into the connection setup, never pasted into the chat where they can get logged or saved into a shared thread. If a key does leak, rotate it in the tool and reconnect. It's boring, and it's the difference between a connector and a leak.

Where to go from here

These five cover the most ground without overlapping, but they aren't the only options. Firecrawl is a clean alternative to Apify when you mainly want to turn websites into research, and Vercel is the natural next step once a Supabase-backed app is ready to go live. Before you pay for any of them, decide which actually earn a subscription, which is what choosing which AI tool to pay for is about. And once a connector is live, the real leverage is pointing an agent at it so it works on a schedule, not only when you ask.