I’ve built and shipped software long enough to know this: connecting APIs always takes more time than it should.
MCP changes that — by letting AI handle the setup for you.
If you’re an indie dev, this is for you.
And if you’re building a product with an API, keep reading — we’ll also cover how to make your app work directly with tools like ChatGPT and Claude.
MCP (Model Context Protocol) is an open standard that lets AI tools like Claude and ChatGPT connect with software on their own.
It tells the AI:
You don’t need SDKs, wrappers, or custom code.
You just connect a tool and describe what you want done — the AI takes care of the rest.
Say you want to collect form responses, save them to Notion, and get a short summary by email every Friday.
That’s useful — but it’s simple. You could build that with a Zap.
Now let’s look at what MCP can really do.
The old way:
Takes hours. Involves 4 APIs, auth, mapping, and lots of testing.
The new way (with MCP):
https://mcp.jotform.com
https://mcp.stripe.com
https://mcp.notion.com
Connect a Gmail MCP server
Connect a Slack MCP server
"Every Friday, check new Jotform responses.Group the feedback by topic.Create a Notion page with charts.Email me a short summary."
That’s it.
The AI reads what each tool can do, connects them through MCP, and runs the whole thing safely — within each tool’s own permissions.
Here are a few one-sentence workflows you can run — right from chat:
One sentence. Multiple tools. The AI runs them through MCP, within each tool’s limits.
1. Open Claude or ChatGPT Pro: These are AI chat apps. You’ll need the paid version to use tools.
2. Go to the "Tools" or "Configure" section. Each tool is a little different:
3. Paste in a link to the tool you want to use. For example:
4. Log in and give permission: The AI will ask you to connect your account. Click to approve.
5. Now just ask it to do something: Try something simple like, “Create a Notion page called ‘Meeting Notes’ with today’s date.”
The AI will understand what the tool can do — and do it for you. It’s like having a junior developer you can talk to.
If your product has an API, you can make it usable by Claude or GPT in a few simple steps.
Here’s how:
create_document, list_customers). These live in a small JSON file on your server.That’s it.
You don’t need a plugin or special support for one company’s model.
Any LLM that speaks MCP — Claude, ChatGPT, or future models — will just work.
If you’re building a dev-facing tool and don’t support MCP yet, you’re making it harder for users to integrate and automate with your product. Get started!
always takes more time than I expect. thanks for this step-by-step!