We did our first launch of MCP-Builder.ai (a platform to build hosted MCP-Servers) a few months ago and since then learned so much from talking to users, getting our first paying customers and also listening to the ones we didn t close.
One thing became very clear from all those learnings:
Coding an MCP-Server is not the hardest part anymore. It s what comes afterwards.
Hosting it, keeping it versioned, making sure it stays online, debugging, monitoring what actually happens and adding proper security. Especially in bigger companies and enterprise setups, a basic MCP-Server is often not enough. Security, authentication, observability and securely connecting internal systems quickly become just as important as the MCP-Server itself.
MCP-Builder.ai
Hey Product Hunters 👋
I’m Dominik, one of the co-founders of MCP-Builder.ai.
We did our first Product Hunt launch a few months ago and were honestly blown away by the response from this community.
It gave us a real traffic boost. And I think every builder here knows: getting those first users, first conversations and first signs that people actually care is always the hardest part.
So first of all: thank you. It really helped us a lot and gave us the push to keep building. 🙏🙏
Since then, we basically spent the last months doing one thing:
Refinement, refinement, refinement.
Getting our first paying customers, listening to the users we closed, listening even more to the ones we didn’t, and building a tool that people actually love to use.
One thing became very clear:
Coding an MCP-Server is not the hardest part anymore. It’s what comes afterwards.
Keeping it versioned, managing the project, hosting it, making sure it stays online and monitoring what actually happens. And when you want to securely connect company data with AI, a basic MCP-Server is often not enough. You need proper authentication, security, observability and sometimes a way to connect systems that should never be exposed to the public internet.
That’s exactly what we focused on with MCP-Builder.ai.
Now you can:
→ Build MCP-Servers fully conversationally
Build your MCP-Servers like you build your websites using Lovable or your software code with Claude Code.
→ Test and debug directly in the dashboard
Directly test and debug your created tools within the dashboard.
→ Choose the security setup that fits your use case
Secure your MCP-Server even if you don´t have a OAuth Server available. With API-Keys, our serviced mcp-builder.ai OAuth server. Or simply bring your own OAuth System.
→ Host your MCP-Server with one click
Get your MCP-Server online with a mouse-click. And connect it immediately without setting up your own infrastructure.
→ Monitor every call
A fully enterprise-ready observability dashboard that shows what happens inside your MCP-Server. Tracks every call and what data is beeing transfered.
→ Securely connect on-premise systems with cloud AI agents
Our Reverse MCP Gateway lets you connect internal systems without exposing them directly to the internet.
Super exited to have another launch today. Exited to hear what you think. Drop your thoughts in the comments.
And a big shoutout to @fmerian for hunting us again and supporting us on the second launch 🙌
MCP-Builder.ai
Hi Product Hunt! I’m Michael, the technical co-founder of MCP-Builder.ai.
Over the past few months, I received a lot of feedback from the developer community. One thing became clear: building an MCP Server with a builder shouldn’t feel like configuring infrastructure. It should feel more like building a custom piece of software that you can use in your favorite AI dev tools.
So we redesigned the experience around conversation. You describe what you want to connect and what you want your AI tool to do, and MCP-Builder.ai helps create it for you, while taking care of the work that comes after coding: hosting, maintaining and running the server.
We also simplified authentication and security configuration, making it easier to choose the right setup without getting buried in complexity.
Would love to hear your experience and your feedback using MCP-Builder.ai!
@michael_weissenboeck As AI tools evolve, the real bottleneck isn't writing the code it's securely connecting company data. It’s great to see MCP-Builder tackling the heavy lifting of hosting enterprise, authentication, and on-premise gateways. A massive step forward for practical AI integrations, Curious how does the Reverse MCP Gateway handle latency when securely connecting to on-premise systems?
MCP-Builder.ai
@priya_kushwaha1 Great question, Priya. The Reverse MCP Gateway establishes an outbound connection from the on-premise environment, so internal systems don’t need to expose inbound ports to the public internet.
Without a gateway, teams typically need to expose an endpoint, configure and maintain a VPN or private connection, or build their own secure bridge between the cloud and internal systems. That adds setup, security and operational overhead.
The gateway does add a network hop, but in most use cases the overhead is small compared with the response time of the connected system or AI model. For us, that’s a worthwhile trade-off for securely connecting internal systems without exposing them publicly.
@michael_weissenboeck Absolutely... thanks for the detailed explanation, the security and simplicity trade-off makes a lot of sense. 🙌