Pervez Choudhry

Gentoro 1.0 - The Fastest Way to Build and Run MCP Tools

Go beyond drag-and-drop, no-code, and low-code tools to start vibing with Gentoro. Purpose-built around the Model Context Protocol (MCP), the Gentoro platform lets you generate, manage, and secure MCP Tools with no custom code and no vendor lock-in.

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Pervez Choudhry
Heyoooo Product Hunt 👋 I’m excited to finally share Gentoro, our LLM-powered. MCP-native platform for streamlining the entire MCP development lifecycle. Here’s what you can do with Gentoro: 🛠️ Generate a production-grade MCP Tool via uploading an OpenAPI spec or vibing it using natural language 🔁 Manage the tool lifecycle with built-in observability, logging, and usage controls 🔐 Secure every interaction with building logging, oauth, retries So if you’re building AI workflows and want to spend less time on tool plumbing, give Gentoro a spin. Thank you for supporting our launch! We’d love your feedback, questions, and suggestions. Here all day (and every day).
Giulia Camargo

Congrats on the launch! 🔥

Pervez Choudhry

@giulia_camargo Thank you!

Hakki

Power of MCP tool generations and entreprise application integrations for your agentic needs in the same house!

Han Zhang

How do I get in touch with sales?

Rainna Certeza

This is awesome!! How can I get in touch with sales? Great work

Omar Saad

Sounds futuristic! How does the Model Context Protocol differ from traditional no-code solutions? 🚀

Pervez Choudhry

@omar_saad3 That's a great question and thanks for asking. MCP is not the solution so much as a protocol, we consider it THE standard for building connections between AI and the enterprise. MCP enables interoperabillity, but it's still not easy to implement. It can take a long time and requires pretty deep technical skills. So the no-code part comes from Gentoro. You don't have to have deep AI or MCP knowledge to create the connectors. You can just paste in an OpenAPI spec and Gentoro automatically generates the set of Tools. Do you want to see a full demo?

Pedro

Spend the weekend dropping endpoints into Gentoro. Paste the spec, hit build, and I had a testable MCP container ready fo CI before lunch. The sandbox plus audit trail combo makes it a no brainer for anything that touches real data.

Enrique Garcia

Went from openapi spec to a full suite of mcp tools in 10 minutes

Mia Technau
Very exiting cannot wait👍🏼👍🏼👍🏼
Caetano

Blew through three dusty OpenAPI specs with Gentoro and had fully tested MCP modules running before stand-up wrapped. The spec-in, container-out flow feels like dev productivity on easy mode.

Federico Lacchini

Just came across Gentoro and I'm genuinely excited about what the team is building. The idea of generating production-grade MCP tools from OpenAPI specs or even natural language is incredibly promising—and long overdue. The built-in observability, logging, and security features show real attention to what developers actually need when building scalable AI workflows.

I haven’t had the chance to go deep yet, but the vision here is clear. This could save teams countless hours on infrastructure and boilerplate. Can’t wait to see how it evolves and explore real-world use cases in our own stack. Big congrats to the team on the launch!

Pervez Choudhry

@federico_lacchini Thank you! We're excited to keep working on Gentoro - and excited to share the journey with you. Let us know if you find anything (bugs, etc.) in the Playground.

Omar Saad

Interesting vision, but how does this act for many users.

Vicente Fonseca

If you’re already betting on MCP and want to stop hand-rolling glue code, Gentoro is the quickest path I’ve seen.

Jorge Avillez

Looks cool, looking forward to trying it out

Tom James

This is a game-changer for our client engagements!!