How I Built an AI-Powered Content Workflow for My Agency Using Notion MCP

This is a submission for the Notion MCP Challenge

As a founder of a dev content marketing agency, one of the things I’ve had to deal with is optimizing workflow across the team.

At one point, we introduced Trello and other management software, but they ended up adding more complications, and we had to strip them off.

Came across the Notion MCP challenge and thought of spinning up a simple Notion-based workflow, where all our dev writers and editors can do their work easily.

In this short blog, I’ll be walking you through what I built and how it’s set to work.

What Is Notion MCP and Why It Matters for Content Teams

MCP stands for Model Context Protocol. It's a system that allows an AI assistant like ChatGPT or Claude to actually interact with your Notion workspace.

Have you ever been in a situation where you gained clarity on something while chatting with Claude, and just wish you could commit it to a page on your Notion?

Well, what you’d have most likely done in that case is to copy from Claude, open another tab for Notion and paste it.

You’d agree such a simple action doesn’t have to be implemented through several screens. This is where feeding context across your different applications becomes imperative.

Unlike the basic Notion API, MCP is not just a data retrieval tool. It is agentic and conversational. It understands context, reads pages, creates database entries, updates status fields, and links records together.

Rather than asking Claude how to, MCP gives you the power to invite Claude directly into your workspace as your personal assistant that does the actual work.

This changes everything for content teams. While the basic API can store content in Notion, MCP allows AI to move content through a production pipeline from brief to draft to review to publication. MCP acts as an intelligent tool that facilitates coordination and structure.

Configuring Your MCP with Your Notion Account

You must connect your context protocol for you to connect your Notion account to any AI-powered IDE of your choice.

For me, I used Cursor, and that will be the IDE of this article.

Step 1: Click Settings and Navigate to Tools & MCP

Navigate as indicated in the picture below:

Step 2: Add the MCP with JSON Format

For some LLMs like ChatGPT, the connection is practically done in the UI as Notion is supported as one of the apps. As a result, the integration is granularly done, and you don’t have to bother about the JSON.

Now, in Cursor, click on “Add MCP.” Once you do that, you’d be taken to a file where you can go ahead to paste this JSON file:

{
  "mcpServers": {
    "notion": {
      "url": "https://mcp.notion.com/mcp"
    }
  }
}

Once you paste this, you’d be taken to a browser to login to your Notion.

The Content Management Workflow

Here are the steps I took to create the workflow:

Creating the Linked Database

While in Cursor, paste this prompt:

Create a page named work. It should be a linked database with 3 tags: Briefs, Drafts, Editorial Review.
Each should be able to host a Google Drive link or plain text.

Then after the execution of your prompt, you should have something like this:

Creating a Brief From the IDE

You can create the brief right from Cursor, just that you have to specify all the parameters you want the writers to take note of as well as other instructions.

First of all, let’s prompt out the parameters. In the instant case, we want:

Topic (text): The subject of the content. This becomes your working title.

Audience (select): Who you're writing for. Create options like "HR leaders," "marketing managers," "executives."

Keywords (text): Target SEO keywords you want to rank for.

Tone (select): The voice of the piece. Options like "authoritative," "conversational," "technical."

Assignee (person): Which content leader or writer owns this brief.

Due Date (date): When the draft is due.

Status (select): Options: "Draft Needed," "In Progress," "In Review," "Approved," "Published."

This will serve as the basis for future briefs. Now that we have the minimal style guide ready. We can go ahead to request the agentic briefing on a topic like x402.

Here is the result:

Once you are done with this, you can instruct your Cursor agent to move the brief from Brief to Draft.

AI-assisted Drafting with Notion AI

Even though it is unethical to quantitatively draft a blog content with AI, it is permissible to get assisted with AI. On this note, the writer can draft and also use the Notion AI.

Here is a sample:

X402: the Missing Payment Layer for the Internet (and Why AI Agents Care)
The internet has always had a clean way to ask for resources: send an HTTP request, get a response.
But it never had a native way to ask for payment.
For more than two decades, the HTTP spec has included a status code for this exact problem: 402 Payment Required. The catch is that 402 was reserved but never standardized into a real, interoperable payment flow.
x402 is an open payment protocol (developed by Coinbase) that brings that idea to life: an internet-native, pay-per-use mechanism for APIs and digital services, where a client can be prompted to pay and then immediately retry the request--programmatically, without setting up accounts, subscriptions, or complex billing integrations.[1]
If you're building products that serve other developers--or you're building agentic systems that need to buy data and actions on-demand--x402 is worth understanding.
What is x402?
x402 is an open standard that lets a server require payment before serving a response, using the HTTP 402 Payment Required status code as the trigger.
At a high level:
A client requests a resource (an API endpoint, data payload, compute, etc.)
If payment is required and hasn't been provided, the server responds with HTTP 402 and payment instructions
The client pays (typically with stablecoins like USDC) and retries the request
The server verifies payment and returns the resource

Editorial Review

This is where the editor comes in. First of all, an editor might prompt Cursor to benchmark the draft with the brief details.

This gives your Editors a single place to review, comment, and approve content. They're not chasing drafts or digging through email for feedback threads.

The AI handles the basic checklist items, so editors can focus on the feedback that actually improves the content.

This is a preliminary stage where the superficial editorial issues are discovered. Then the editor can leave comments for the writers to improve.

Once that is done, the editor can now manually read and review the whole document, and move it to Done.

My View About the MCP

The Notion MCP saves a lot of time and context-switching, which I found quite helpful.

Especially now that we all ship code from Copilot or chat with Claude.

It is not easy to circle our conclusions or whatever back to Notion for proper journaling; all that achieved with a simple command that activates agentic automation.

In the context of my content management workflow, I believe it will also be helpful to bunch up the style guide into a Claude Skill.

The Skill should make the editorial review faster as I can prompt from Cursor or Claude with the Skill, and get more contextual editorial review.

With that, our team can ensure that all of the outputs don’t fall below our editorial thresholds.

At the end of the day, Notion AI, MCP, Skills are separate innovations that are converging and getting every field ready for AI-boosted productivity.

Conclusion

I haven’t introduced this new Notion-based workflow to the team yet, but it seems to be a promising one.

Indeed, the swift connection of LLMs and AI-powered IDE to Notion is such a superpower to technical content creation teams.

This system provides a faster turnaround because briefs take two minutes instead of twenty. Fewer context switches because editors never leave Notion.