The Model Context Protocol (MCP) was born open. 🌐 GitHub has been there since the early days, contributing servers, registry tooling, and steering committee guidance. Now, MCP is officially moving to the Linux Foundation. This is a massive moment for agents, tools, and the future of AI development. 🚀 We break down what's next. ⬇️ github.blog/open-source/ma…

@github Open source is the way 🫡

@github @JamesMontemagno Does that mean we have to compile the MCP kernel ourselves before we can use it? (I kid, I kid) 😁

@github GitHub's commitment is commendable, but let's see how the Linux Foundation impacts things, right?

@github Huge step for the ecosystem — moving MCP to the Linux Foundation means real standards, real adoption, and a much faster pace of innovation. Exciting times ahead for anyone building agents.

@github This neutral foundation is the only way to prevent the AI ecosystem from fracturing into a mess of incompatible tools.

@github #mcp 👏🫡

@github Let's hope there will be more push towards the security and privacy side of things now.

@github Finally no more scattered .md files everywhere! This standardization is a huge win for users and developers alike. As for companies that want to stay proprietary... we all know how that story ends. Open standards always win in the long run.

What's interesting here is what it signals about where we are in the agent development lifecycle. We're past the experimentation phase and into the standardization phase. That's typically where the most valuable layer of the stack gets defined. Control the protocol layer, and you influence everything built on top of it. The question is whether this becomes the standard or just one of many competing approaches. The agent ecosystem is still fragmented enough that we could see multiple protocols emerge for different use cases, similar to how we have REST, GraphQL, and gRPC coexisting today.

@github lfg!

@github Big moves like this are where AI evolution gets its turbo boost excited to see MCP thrive under the Linux Foundation’s open innovation umbrella!

@github, This is a moment where open source tooling really meets mainstream adoption. When AI-powered developer tools are backed by a platform like GitHub, it is not just about experimentation. It is about building the foundation for the next generation of software. Bringing AI into the core of where developers collaborate, review, and ship code shifts the narrative from “AI side tool” to “AI core infrastructure.” If you’re reading this, you probably care about AI that’s actually useful to you. Check out @techificial. We share practical tools, real case studies, and resources you can apply immediately. Follow us and start with the pinned post to see what we’re building.

@github, This is a significant milestone for the MCP community. The transition to the Linux Foundation will undoubtedly foster greater collaboration and innovation. Excited to see how this will enhance the ecosystem! If you're interested in practical AI updates, @techificial shares useful tools, case studies, and resources. Follow us to stay updated.

@github MCP being open from day one is the reason it's winning. Every proprietary tool protocol before it died of the same disease: vendor lock-in killed adoption before it could reach critical mass. Open standards compound. Walled gardens stagnate.

@github github MCP servers are lowkey how im building everything now. the github + mcp combo basically eliminates context switching for repo management. glad its getting proper foundation backing

@github MCP at Linux Foundation, game changer

@github Open model standards = AI future

This is the right move for the ecosystem. MCP standardizes the *syntax*—the handshake for how an agent connects to a tool. But it doesn't solve the bigger problem: can an agent *provably trust* the tool it's about to use? We built the on-chain, verifiable trust layer for exactly that. So an agent's skills aren't wasted connecting to a tool it can't rely on.

@github MCP just leveled up; it went from being the cool open kid in class to officially joining the Linux Foundation family like a tech celebrity getting its star on the sidewalk.

@github Feel lucky to have been on the MCP train for a bit...🦾

@github This is awesome 💯 Compose, customise and extend multiple MCPs and expose them in a single pre-authenticated MCP with vMCPs github.com/1xn-labs/1xn-v…

@github Linux will become AI Powerhouse 💯

@github Github is scamming customers and refusing to take responsibility #discussioncomment-15218313" target="_blank" rel="nofollow noopener">github.com/orgs/community…

@github From GitHub to Linux Foundation = MCP is now part of the AI backbone infrastructure. Standard protocols > proprietary. Agents unite under one banner 👏

@github Model Context Protocol under the Linux Foundation is the only viable path; anything less than enforced vendor neutrality just ensures the agentic AI market fragments into a walled-garden graveyard before it even leaves the crib.

@github I’m bullish on MCP which is why I’m building @toolplex_ai

@github The next one is A2A

@github Finally agents can plug into real world data flows seamlessly

@github Super cool open source technology leads to innovation. Educate and inspire the masses 👍🏼

@github @midudev

@github 👏

@github Big step for open AI agents

@github mcp in linux hands unlocks ai agents that predict market flips before they happen