u/Reasonable-Jump-8539

I'm looking for the best MCP knowledge base connectors as I use multiple AI tools and need something that I can plug into whichever AI tool I want.

I have heard about obsidian but what other options are out there?

Show me your best tools/setups?

I've been exploring tools that give AI persistent memory across conversations, and I built across something called AI Context Flow. Wanted to get some honest takes from this community.

The core idea:

• You save ongoing context about what you're working on (projects, ideas, decisions) into organized "memory buckets" that your AI can pull from.
• Instead of re-explaining everything each session, the AI already has the background and gives way more useful responses.
• You can share that same context with other people or AI agents, so collaborators see the reasoning and progress behind something, not just the end result.
• MCP can connect tools like OpenClaw to the same context layer too.

It basically turns AI from a stateless tool into something closer to a teammate with actual memory. And because the context is portable, it works across different AI workflows and not locked into one app.

Kind of like going from one-off conversations → a shared workspace of thoughts + reasoning.

We are now looking to expand the team features and was curious what you guys think.

• Would you actually use something like this?
• Where would it add the most value for you — personal productivity, team collaboration, agent workflows or creative projects?
• What's the biggest blocker in AI Context you feel right now?

My team and I are total nerds, we try out every new AI tool that comes out. Last year, we were switching from model to model, platform to platform, hoping to stay ahead of the curve.

But at a certain point, it got soooo exhausting… it was impossible to maintain a consistent context across AIs. Prompts written again and again, documents uploaded again and again… and forget collaboration between team members.

The play from big AI platforms was simple: commit to one platform, add everything there. Classic retention play.

But what if you want a personal memory and knowledge base that works across all of them? Maybe you like Claude and Gemini for different things. Or you want to plug your context into OpenClaw… and whatever cool new thing drops next.

That's when we started building AI Context Flow. It's a browser extension, MCP server and memory studio that lets you capture context from anywhere, store it once, and bring it into any AI conversation instantly. No re-explaining, no re-uploading.

This is for you if:

• Your AI agents lose context every time you switch between projects
• You are drowning in saved articles that never talk to your AI
• You’re in a team where everyone uses different tools but nobody shares the same context

Happy to answer anything about the lifetime deal and how we built it. AMA 👇