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.
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.
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.
______________________________ . 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.
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.
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.
We're entering an era where AI assistants are everywhere. But there's a problem: your context, research, and insights are still locked inside individual platforms.
AI Context Flow changes that.
Now you can capture information from ANY website and instantly use it across ChatGPT, Claude, Grok, Gemini, Perplexity (or any of 30+ AI models in our memory studio). If AI is truly your second brain, it should follow you everywhere you go.
Here's how it works: Create topic-specific buckets (from the extension or Memory Studio) Highlight and save text from any webpage directly to your AI memory Access that context instantly across all major AI platforms
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:
Haven't tried it out? Today's the day to start building your second brain. Install it now This is what happens when you actually listen to users. Building in public works. Thank you. I mean it!
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.
Different AI models excel at different tasks. This isn't just theory, it's backed by real-world benchmarks: leads in coding (80.9% on SWE-bench) and long-form writing with careful reasoning excels at conversational tasks, creative work, and maintains memory across sessions dominates with 1M-token context windows, making it ideal for analyzing lengthy documents (Writer's enterprise LLM) offers cost-effective performance for business workflows with specialized variants for healthcare, finance, and creative tasks Despite these clear differences, most professionals stick to one platform. Why? : Switching between AI tools means losing context every single time. You waste hours re-explaining project details, preferences, and constraints. Tab-switching becomes friction. Context-switching becomes exhausting. - ? This is exactly what we have done with Pluto - Plurality Network's ontology agent that supports switching between 30+ AI agents. 1. Go to our memory studio: https://lnkd.in/dp3EJjZj 2. Create memory buckets for your projects in the Memory Studio 3. Add documents or manually input context 4. Switch between ChatGPT, Claude Opus or Sonnet, Gemini, or Palmyra and others mid conversation. Your context stays intact.
Switching between different AI models should not force you to endlessly repeat your information again and again.
We decided 2025 would be the last year that people spend 5+ hours/week in endless context repetition loops. Hence emerged AI Context Flow, #1 product of the day with ~2000 users now!
But 2026 is going to be even better. Today, I'm excited to announce our biggest update yet: Pluto (can you guess the wordplay here? )
While flying to Argentina to visit my family for the New Year, I scrolled through my phone and realized how much happened since we launched Pretty Prompt on Product Hunt 7 months ago.
Everyone went crazy in 2025 after AI Memory. There are atleast a dozen launches in the space on product hunt from june-december, but the problem seems far from solved. Are you using any of the current memory systems (platform specific or interoperable ones, doesn't matter). What do you still hate in these systems? is it context repetition? is it hallucinations? is it inability to move between systems with your memory intact? Want to wrap up the year knowing what people actually need!
We built a small calculator for you to see how much time you are wasting per day/week/year just due to context switching between different AI tools. Try it out! My wastage was 6 hours/week, what's yours?
Imagine taking your entire AI conversation history and context with you, across every platform you use. That's what we've built with AI Context Flow. We already support ChatGPT, Claude, Grok, Gemini, and Perplexity. What more should we support? Vote and drop a comment if you have specific platforms in mind. Your input directly shapes our roadmap.
AI Context Flow
