But first, what is MCP?
MCP Servers, often called the USB-C of AI systems, have had a meteoric rise in 2025.
And the reason is plain to see. Without MCP, the complexity of integrating AI with external systems rises quadratically (esp. with the proliferation of AI agents). With MCP, it only increases linearly.
Practically, what this means is that you can connect your AI agents with any external data/tool source that exposes its functionality as per the standards of MCP. Kind of like a REST API, if you are an oldie like me in tech.
:
The MCP Servers I have been using the most (will create separate posts for these in the coming days):
: I tell ChatGPT what I want, and then use the Canva MCP to create an editable image of my concept. The file gets automatically added to my Canva account and I fix any issues manually. We all know AI-generated images have weird problems (esp. with spellings etc.), so Nano Banana wasn't really useful for me. A lot of my posts have pictures created this way (ping me if you want me to put together a short tutorial on this).
: Same as above. I use it to create mind maps of my brainstorming sessions with AI, where I can (sort of) create decision trees of how we arrived at a certain point.
: I haven't done it yet. I'm scared for privacy reasons, but the urge is strong. I hate meeting management, and as a founder, mother, and IT professional, I have to maintain my schedule down to the minute if I want to balance the various areas of my life.
: I have a lot of my context in Plurality's Memory Studio. With the Plurality MCP, I don't have to use the AI Context Flow browser extension and can instead use the MCP server directly on Claude Desktop. This helps me in three ways:
  I can pull in my context on Claude Desktop, Claude Code, and even with Cowork
  I don't have to keep pressing the optimize button to pull in context (MCP is seamless. Just chat, and it will do the rest)
  The overall experience is muuuuccchhh better than the extension

This guide shows how to add Plurality (or any other MCP server) to your different agents.
Which MCP servers are you using the most? Let's exchange notes.

Hey PH!

AI memory is personal by default. Your context, your preferences, your saved info, none of it is visible to anyone else.

Which is great for privacy. Terrible for collaboration.

My partner and I are avid travellers. I plan, he executes. Last year I sent him more AI chat links than memes trying to get us on the same page for trip planning. It was absurd.

Two months ago, I'd never heard of Product Hunt. When I told people we were launching @AI Context Flow here, they told me to keep my expectations in check.

Fast forward to today: #1 Product of the Day and #1 Productivity Tool of the Week.

The journey was chaotic, humbling, and honestly surreal. If you'd told me this would happen, I wouldn't have believed you.

To everyone who upvoted, commented, and cheered us on: Thank you. Your support means everything and keeps us building.
If you need any tips on how we pulled this off as complete first-timers, ask your specific questions below

Just think for a sec.
You've told different chat agents your role, your tech stack, your client preferences, your project constraints - hundreds of times across hundreds of conversations.

But where does all that live?

Scattered across chat histories. Fragmented across different platforms. Sometimes contradictory, & mostly out of date.

The problem is: ' .

The last 4 months have been intense, launching, testing, getting #1 product of the day and #1 productivity tool of the week here, late night bug fixes, getting featured in FORBES, & feature requests from hundreds of YOU!
But watching this community grow has made every late night worth it.

Seeing this for the first time? Here's what AI Context Flow does:

It's a Chrome extension that creates one unified memory across all major AI platforms i.e. ChatGPT, Claude, Grok, Gemini, and Perplexity.

The problem it solves:

box . ' .
( _ )

______________________________ .
Imagine: You're deep into a technical doc. Three browser tabs open. A Wikipedia article on one, an API reference on another, a blog post explaining a workaround on the third.

You find exactly what you need.

700,000 people have quit ChatGPT in the past few weeks. Political backlash, ethical concerns over ICE using GPT-4, and a drop in product quality are all driving a massive wave of switching.

Most are landing on Claude. Some on Gemini. Many on both.

But every single one hits the same wall: how do you move your context?

All the preferences, projects, and workflows built up over months or years stay locked inside the old platform. The new one has no idea who you are.

AI Context Flow just launched its most powerful features
2,200 users. Hundreds of feedback messages. One recurring request:
" , , ?"
We heard you. And we shipped it.
' :
- Cross-platform context (ChatGPT, Claude, Gemini, Grok, Perplexity) - that stayed
- NEW: AI Sidebar that works on EVERY website you visit
- 30+ model switcher so you can use any AI with your context
- One-click saving from ANYWHERE on the web
You're no longer limited to AI chat platforms. Your memory travels with you across the entire internet.
Full demo:

Hey PH

I want to be upfront about something before I share what we built.

We've been building AI Context Flow - inline context injection via a browser extension that takes your personal context into AI tools as you use them. It's been working well, but it always had a ceiling.

Inline injection can only go so far. There are corner cases where you need deeper context. And the extension is browser-only. What about desktop apps, CLI tools, local models, mobile?
You shouldn't have to keep re-explaining yourself to every AI in every environment.