Open source has always been where serious infrastructure gets tested in public.
On June 16–17, 2026, that community came together in Mumbai for Open Source Summit India, the Linux Foundation's flagship gathering for developers, maintainers and engineering teams working across open source, AI, cloud-native systems, security and infrastructure.
NitroStack was part of that conversation on stage.
Satyam Soni of NitroStack, alongside Khushi Chhillar of NgKore, presented “Meaning Over Bits: How Semantic AI and eBPF Define the 6G Open Stack.”
It was a deeply technical session. And it also represented something important about where NitroStack itself is heading: building serious AI infrastructure in the open.
From raw bits to intelligent infrastructure
The session looked at a fairly fundamental change happening in networking.
6G isn't simply about pushing more data through a faster network. The architecture increasingly moves toward semantic and goal-oriented communication, where systems reason about the meaning and intent of information instead of treating every bit equally.
That changes the infrastructure underneath it.
The talk broke that stack down through AI-based semantic encoders and decoders, task-oriented transmission, Linux infrastructure and eBPF-powered observability.
eBPF is particularly interesting here because it makes the infrastructure itself programmable. It can trace inference latency, expose model-level telemetry and enforce policies much closer to the kernel.
In other words, intelligence is moving deeper into the stack.
For NitroStack, that direction feels very familiar.
NitroStack is building the open layer for MCP
The same shift is happening in AI application development.
Models alone are no longer enough. Agents need tools. Tools need permissions. Applications need context, schemas, authentication, runtime controls, observability and infrastructure that can actually survive production.
That is the problem NitroStack is solving around the Model Context Protocol (MCP).
At its foundation is the open-source NitroStack TypeScript SDK, built specifically for production-ready MCP servers and AI-native backends.
Instead of giving developers a thin protocol wrapper, NitroStack brings a proper application architecture to MCP:
- Type-safe tools, resources and prompts
- Zod-based runtime validation
- Dependency injection
- Guards, middleware and interceptors
- OAuth 2.1, JWT and API-key authentication
- Interactive MCP widgets
- CLI-based project scaffolding
- A structured runtime for production MCP applications
The project is licensed under Apache 2.0 and developed publicly on GitHub.
And the developer response has been substantial.
The NitroStack repository has now grown beyond 2,500 GitHub stars with more than 1,400 forks, putting a young MCP framework in front of a rapidly expanding open-source developer base.
That's not open source added as a marketing label.
The core framework itself is open.
Why open source matters for MCP
MCP is becoming an infrastructure layer between AI models and the systems they need to interact with.
That layer needs trust.
Developers should be able to inspect how authentication works. They should understand how a tool executes. They should be able to extend the framework, challenge implementation decisions, contribute fixes and take the infrastructure into environments that NitroStack doesn't control.
Open source makes that possible.
The NitroStack SDK handles the framework layer openly. NitroStudio gives developers a dedicated environment to build, inspect, test and debug MCP applications. NitroCloud extends that into deployment and production infrastructure.
Together, that creates a much broader MCP development stack:
Open-source SDK → Build → Test → Inspect → Deploy → Operate
And that's an important distinction.
NitroStack isn't trying to become another directory of MCP servers or another thin abstraction over the protocol.
We're building the development infrastructure around MCP.
NitroStack belongs in the open-source AI conversation
That is why having Satyam speaking at Open Source Summit India mattered.
The event brought together communities working on Linux, AI infrastructure, cloud-native systems, networking and the next generation of open technologies. Satyam's session sat directly at that intersection, connecting semantic AI with programmable, observable open infrastructure.
NitroStack is approaching MCP with much of the same philosophy.
Keep the foundation open.
Give developers real engineering primitives.
Make the infrastructure observable and extensible.
Then remove as much friction as possible between an idea and a production MCP application.
With an open-source MCP framework already past 2,500 GitHub stars, a rapidly growing developer ecosystem and a full development stack forming around it, NitroStack isn't approaching open source from the sidelines.
We're building a meaningful part of the open-source MCP ecosystem itself.