Managing social media and making viral content in Chatgpt using Rube MCP

Managing social media content across multiple platforms while staying on top of trending topics is a pain. You're constantly switching between Reddit, HackerNews, LinkedIn, and Twitter - researching trends, crafting posts, scheduling content, and tracking performance.

What if you could do all of this from a single ChatGPT conversation?

In this guide, I'll show you how to automate your entire social media workflow using ChatGPT with Composio's Rube MCP server. We'll research trending topics, create engaging posts, publish across platforms, and analyze performance - all without leaving ChatGPT.

What We’re Going to do Here

We will have a smart social media assistant running right from ChatGPT. Imagine being able to:

• Spot trending topics on Reddit and HackerNews without endlessly scrolling

• Pull together the most interesting discussions and highlights effortlessly

• Create posts that are tailored for Twitter and LinkedIn

• Publish your content directly to your accounts without switching tabs

• Keep an eye on how your posts are performing with likes, shares, views, comments, all in one place

In short, this setup takes a lot of the manual work out of social media management, letting you focus on creating content your audience actually cares about.

A Quick Look at Rube

Rube is essentially a universal connector for AI agents, built on the Model Context Protocol (MCP).

Think of it as a bridge that links AI models like ChatGPT to the tools you actually use — Google Sheets, search APIs, SQL databases, and hundreds more.

Instead of writing custom scripts, wrestling with APIs, or worrying about authentication, Rube gives you instant access to over 500 apps. It handles tool selection, action execution, and security, so you can focus on solving problems rather than plumbing.

For businesses, this means faster decisions. For developers, it’s less repetitive setup and more time building things that matter.

What You’ll Need

Before we dive in, make sure you have a few things ready:

• A ChatGPT Plus subscription so you can access MCP features

• Accounts for Reddit, Twitter/X, and LinkedIn (with API access where needed)

• About 10 minutes to get everything set up

Think of this as your toolkit, once you have it, the rest of the process will be much smoother.

Step 1: Connecting Rube MCP to ChatGPT

Note: To use Rube, you need to have ChatGPT Plus plan at least.

Connecting Rube to ChatGPT is straightforward:

1. Go to ChatGPT Settings

2. Go to Connectors → Advanced Settings → Enable Developer Mode and toggle it on.

1. Go back to Connectors and click the Create button.

2. Fill in the details:

   • Name: Rube

   • Description: You can leave this blank

   • Authentication: OAuth

3. Click “I trust this application” and then hit Create.

4. In a few seconds, you’ll be prompted to log in to Rube.

5. Once logged in, either select an existing workspace or create a new one. This workspace is where Rube will look for all your connected apps.

After this, Rube will be fully connected to ChatGPT, ready to start automating your social media tasks.

Why Rube Instead of ChatGPT’s Built-In Connectors?

While ChatGPT’s native connectors can handle some tasks, they often come with limitations-they can be unreliable, support only a handful of apps, and may not always be the easiest to use.

Rube, on the other hand, takes care of authentication, tool selection, and action execution right out of the box. It also optimises how each tool is called, giving you a more seamless and robust experience. In short, it just works without the headaches.

Step 2: Authenticating Apps in Rube

For this social media management tool, I will use four main apps:

• Reddit → For trending topic research

• Twitter/X → For posting and analytics

• LinkedIn → For professional content posting

• HackerNews → For tech trend analysis

To ensure we are not prompted to authenticate during our workflow, you can preregister them in Rube. Let's see how to do that.

Steps are super simple:

1. Navigate to the Rube Dashboard. In case you face an error, make sure you are logged in.

2. Go to Marketplace and select the apps required for the job - Reddit, Twitter, LinkedIn, HackerNews.

3. In the app window:

   • Click on Enable App

   • Select the scopes needed - basically the permissions

   • Login using Composio OAuth (same top-notch security out of the box)

And you are done.

At the end, you will have all your social media accounts connected and ready to use.

Step 3: Launch Your Social Media Assistant with ChatGPT & Rube

Before we begin, ensure that Developer Mode is enabled in ChatGPT and Rube is connected (if not, refer to Step 1).

Once that’s ready, activating Rube is easy:

1. Open any ChatGPT chat window.

2. Click the ➕ button, then More… → Developer Mode.

3. Next to Developer Mode, click Add Source and toggle on Rube (or whatever name you gave it in Step 1).

And that’s it! Your ChatGPT chat is now Rube-enabled, ready to fetch trends, generate posts, and publish content across platforms.

It's a good practice to check if all connected tools are available or not. To check, you can prompt: "What tools do you have access to?"

Research trending topics

To kick things off, in the same chat, paste the following prompt and execute:

Note: Always follow the prompt structure: "Hey Rube, check X, do Y with criteria, output Z." for best results!

Hey Rube, check trending posts on r/programming, r/MachineLearning, r/startups from last 24h and top 10 HackerNews stories from today. Extract posts with 100+ upvotes/points about AI, developer tools, and startup trends. Create 2 Twitter posts and 1 LinkedIn post from the most engaging topics

& let Rube & Composio handle the rest.

Sample response:

Compiled topics artefact (example)

Here’s a concrete table you or readers can generate right after the research step. Copy this as a template and have Rube fill it.

Prompt to auto-fill this table with Rube:

"Create a table with columns Source, Title, Score, Topic tag, Why it matters, Post angle using the filtered Reddit and HackerNews results you found. Limit to 8 rows, highest score first."

Step 4: Generate platform-specific content

Now we'll create optimised posts for each platform based on our research.

Create Twitter content

"Based on the trending topics analysis, create 3 Twitter posts:

1. A technical thread about AI code generation tools (3-4 tweets)
2. A quick take on the new JavaScript framework
3. A poll about remote work productivity tools

Make them engaging, use relevant hashtags, and optimize for Twitter's format."

Create LinkedIn content

"Create LinkedIn posts from the same topics:

1. A professional post about AI tools in software development (300-400 words)
2. A thought leadership piece on remote work trends for startups
3. A technical insight post about the JavaScript framework

Use a professional tone, include relevant industry hashtags, and structure for LinkedIn's format."

Step 5: Publish your content

Time to publish across platforms using Rube's publishing capabilities.

Schedule Twitter and LinkedIn posts

"Use Rube to publish the AI code generation Twitter thread. Post the first tweet now and schedule the follow-ups 1 hour apart."

"Use Rube to publish the AI tools LinkedIn post now, and schedule the remote work post for tomorrow at 9 AM IST."

Confirm publishing

Rube will:

• Post content directly to your connected accounts

• Confirm with post URLs

• Set up scheduled posts if requested

• Return post IDs for later tracking

Step 6: Track performance and optimise

Now let's monitor how your content performs and get insights for improvement.

Monitor engagement

Set up regular performance checks:

"Use Rube to check the performance of all posts published today. I want to see:

1. Engagement metrics (likes, shares, comments, views)
2. Reach and impression data
3. Click-through rates for any links
4. Comparison with my previous posts' average performance"

Get optimisation insights

"Based on the performance data, analyze which posts performed best and why. Give me specific recommendations for improving future content."

Weekly performance review

Set up a weekly analysis routine:

"Create a weekly social media performance report showing:
- Top performing posts by platform
- Trending topics that got the most engagement
- Optimal posting times based on engagement
- Content format recommendations (threads vs single posts)
- Hashtag performance analysis"

Once we prompted ChatGPT, everything ran smoothly, aside from occasional confirmations for security. Rube and Composio handled tagging emails, scheduling follow-ups, and creating events, turning a tedious evening task into a relaxed process.

In short, it streamlines communication and frees up time for work that really matters.

Final Thoughts

With ChatGPT and Rube MCP, you can transform social media management from a time-consuming chore into an intelligent, automated system. You're no longer manually switching between platforms - instead, you have an AI assistant that researches trends, creates content, publishes posts, and provides optimisation insights.

This setup saves hours of daily work while actually improving your content quality and engagement. The research is more comprehensive, the content is platform-optimised, and the performance tracking gives you data-driven insights for continuous improvement.