MCPfy

Hi Product Hunt Community, I’m Alok, maker of MCPfy 👋

Super excited to finally share what we’ve been building and to launch MCPfy with all of you today!

For the last few months, we’ve seen MCP (Model Context Protocol) emerge as the cleanest way to connect tools to AI agents.

But building a production-ready MCP server is still… a grind.

You write glue code.

You secure it.

You handle hosting, auth, analytics, logs, scaling, all before you even ship your first tool.

Most people give up before they get to “Hello, MCP”.

🔥 We built MCPfy because every business should be able to expose their APIs to LLMs in minutes, not weeks.

🧩 What is MCPfy?

“Your API → Your MCP Server in under 1 minute.”

Just drop your API spec, and MCPfy turns it into a ready-to-use, fully hosted MCP server with:

• Built-in authentication

• Usage analytics & logs

• Secure hosting

• Auto-generated MCP tool definitions

• Easy distribution to your users

No infra. No boilerplate. No vibe coding gymnastics.

Just… an MCP server that works.

💡 Who is it for?

• AI builders: Need to expose tools to LLMs without scaffolding dozens of files.

• Product teams: Want to make their internal APIs usable across agents instantly.

• SaaS companies: Want to give customers an official MCP integration without engineering heavy lifting.

• Indie devs & founders: Shipping faster when everything “just works”.

🚀 Real use cases

Turn your CRM APIs into an MCP server.

Create an MCP server for your SaaS.

Expose internal tools to your company’s AI agent.

❤️ Why this matters

We believe MCP is the missing bridge between AI agents and real software.

And tools only win when they’re accessible.

MCPfy makes the protocol usable for everyone.

Less infrastructure, more building.

Less setup, more shipping.

💬 Would love your thoughts

What do you want your MCP server to do for you?

What tools are you excited to expose to LLMs?

Thanks for checking us out. ❤️

Huge congratulations to @atominac_98 @samkitjain17 on this launch! 🎉

As someone who’s been deep in the trenches of platform and infrastructure engineering, I know firsthand how challenging it is to make something truly simple in a space that’s still rapidly emerging. MCP servers are still in their early days, and the tooling ecosystem is just beginning to take shape — which makes what you’ve built even more impressive.

You’ve taken a complex, often mysterious workflow and turned it into a clean, repeatable, and deployable experience for businesses. That’s not just good engineering — that’s empathy for the developers who will rely on this every day.

The future of connected, extensible AI systems is going to be powered by well-designed MCP servers, and this launch pushes the whole ecosystem forward. Excited to see how teams adopt it and what new possibilities it unlocks.

Proud of the work, the craft, and the vision. Onwards! 🚀

This is an interesting idea. What do you do about security and data protection?

Congratulations @atominac_98 & @samkitjain17 on the launch. A good UX for infra tooling is surprisingly rare.

This idea really appealed to me, and I would like to know how MCPfy simplifies the time-consuming parts of implementation so developers can focus on the main logic.