Confession time. MCP was one of the last things we shipped before this launch, almost a last minute decision. And honestly, I now think it s the most valuable part of k dlo.
Here s why. Ever since we started showing k dlo to people, we kept getting the same question. Why would I use this if I already have Claude Cowork / ChatGPT / my own agent? Fair question. We tried to answer it by explaining the architecture, the shared memory, how all the agents work from the same context. People nodded, but it didn t really land. Nobody gets excited about architecture diagrams
With MCP, they don t have to. You just plug k dlo into the tool you already use and feel the difference right away.
People already sell with their own AI every day. What they re missing is the context. k dlo keeps everything about your leads in one place, so it doesn t matter if you work in Claude, ChatGPT or a coding agent. That context goes with you, and the selling you already do just gets bigger. On top of that, k dlo gives you what a chat window can t, a real place to list your leads, sort them into campaigns and work on docs and everything else a deal needs.
The sales offers and deliverables can change frequently. Does the Knowledge Hub handle changes and reflect the latest version when generating proposals?
@nuseir_yassin1 KH organizes data into projects and works as agentic RAG, so agents have several tools for fetching data from it, including metadata. Agents in kōdlo can see which artifacts are in KH (not just semantically relevant snippets), so they can pick the latest version when asked. I confirmed this with Claude Code too. You can also pin specific projects so only those are visible to the agent, but that toggle is UI-only for now.
On top of this you can create different campaigns for different offers , search prospects for exactly that campaign's ICP and have specific instructions like outreach strategies or smth your agent should know.
How often does Kōdlo refresh its data? There may be signals like funding or hiring that can change over time and keeping up with those is important.
@iamanantgupta Kōdlo works a bit differently. Instead of maintaining and updating a static database, it runs a prospect search whenever a user requests one, then saves the findings and contacts to its built-in CRM. Each search draws on the most recent data available online and from our data providers.
Vitalii here, developer on the kōdlo team 👋
Happy to answer any technical questions, especially about the shared memory and the MCP connection. If something breaks or feels slow, tell me and I'll look into it.
I like having prospect research, client data, and team tasks in one place. It could make the sales process easier to manage.
@sandhya_kumari11 thanks so much, Sandhya! That’s exactly why we built it, so everything lives in one place and nothing gets lost along the way. Give it a try with the free trial, we’d love to hear what you think 🧡
Hey Andriana, huge congratulations on the launch to you and the entire team! 👏
Sales teams often need different offers and messaging for different clients and prospects, and keeping all of that synced and unified is especially valuable when you're working with a sales team. Even as a solo operator, sales people can struggle to keep the right offers and outreach templates in place, particularly for outbound, so kōdlo feels genuinely useful.
The MCP integration is also especially interesting. Being able to connect kōdlo’s context to AI tools like Claude Desktop, ChatGPT Work, and coding agents makes the workflow much more powerful.
Wishing you and the team all the best! :)
@rohanrecommends thank you so much Rohan, and thanks for all your support along the way! 🙌
You touched on something important. kōdlo has its own AI layer in the architecture, so AI isn’t a feature added on top, it’s built into how the whole product works. That also gives every salesperson traceability. You can always see where a piece of information came from and why the agent suggested something.
And that’s why MCP matters so much to us. People already sell with their own AI tools every day. kōdlo collects all the context about your leads in one place, so whether you work in Claude, ChatGPT or a coding agent, you take that context with you and can scale the selling you’re already doing.
It’s also a place where your whole sales team and their agents work together. Through MCP, for ex. Claude can even read the comments your teammates or their agents left in your shared workspace.
Congrats on the launch 🐍! The shared memory idea is what stands out to me. Sales prep usually falls apart because context gets lost between tools, so it’s good to see someone fix that at the root!
@anastasiia_ihnatenko Thank you! 🐍 We agree, that’s exactly the problem we set out to solve. kōdlo is the place where all your sales context lives, so you don’t lose it between tools and can scale your sales without starting from scratch every time.
Great stuff Ivan! Congrats!!!