The Exchanges

Q Well, I think a lot of people are trying to place MCP versus skills. Obviously they're not overlapping, but how do you view it?

A Yeah, I agree. I, I think that's the interesting part is like, they're not overlapping. I think they, they solve different things. I think skills are super great. And you know, they're, I think that the first that really like, they've been built from the principle is progressive discovery. But I think the mechanism of progressive discovery, that's just universal to any type of thing you can do with the model. But what skills do, they like, they give you the domain knowledge for like a specific Set of tasks, like how you are, how you behave, how should the model behave as a data scientist, or how should the model this, um, behave as an accountant or whatever. But MCP gives you the connectiveness of the actual actions that you can take with the outside world. And so I think they're somewhat, um, orthogonal in like, in terms of like the skills really gives you this domain knowledge, just like kind of vertical. And then like MCP gives you this horizontal of like, okay, you know, Give me that one action. And of course, skills can take actions. They can take actions because you can have code and scripts in there. And that's great, but it has two interesting aspects that I think people got. The first one is you need an execution environment. So you need to, you need to use a way to execute your machine. Yeah. Yes. And that, that's, that's perfectly fine for, you know, if you like run …

AI assessment note: “skills really gives you this domain knowledge... MCP gives you the connectiveness of the actual actions”

Q Is there a role, like a double head that you have now with the foundation, uh, or are you more focused on MCP?

A I am still mostly focused on MCP as a bit of a double head. So there is this like, I think people need to understand like the foundation part is mostly just an umbrella to make sure the projects under it stay always neutral. And I think that's really the most important part you want to get a lot, um, you know, want to understand because the rest of it is like, okay, how do we use the budget of the foundation for events and things that are like quite dry. And then the technical part. So like MCP, they stay actually the same, like on the, on the way we govern MCP, nothing has really changed. And so that's really still my job as the lead core maintainer of like shepherding, um, the process of shepherding the protocol forward. And then beyond that, now the additional double role is like, I'm also going to be on the technical steering committee of the foundation, which will like make sure to like figure out what are the projects we want to have in the foundation. So if someone comes with the project to us, The people that have projects in it will decide, is this something we would want? Is this something that we feel is like well maintained, has a lot of adoption, is not going to go away. We want to make sure the foundation is, have like super interesting and important projects and not like a dumping ground, like have, you know, how some foundations might have ended up with.

AI assessment note: “I am still mostly focused on MCP as a bit of a double head.”

Q What's the state of agents authenticating on my behalf? Because even today with the OAuth, I still have to, you know, log into linear and whatnot. Yeah.

A OAuth itself is for the most part, a very human centric protocol. It's just, it just tells you how you obtain a token. If you don't have a token, once you have a token, actually it doesn't matter. You just put it into the bearer token. And so we, we're not very prescriptive of what like agent to agent, um, authentication would look like or on behalf of agents. They are ideas that we're looking into, and I don't have all the specifics, but we are not prescriptive in the same way we're prescriptive as with OAuth, but you can technically, as the moment here you have a token that might be like bound to like a workload identity or something like that, then you just can pass that still to the MCP server. We're just not telling you how to obtain it just yet. And so we're not prescriptive. And so people do this and they can do it when, or particularly when they're within like an enterprise and have a somewhat closed ecosystem. But if the client and the server don't know each other, we just don't have a good solution for now.

AI assessment note: “if the client and the server don't know each other, we just don't have a good solution”

Q was a kind of leader in context compression or, uh, in compaction maybe, let's just call it, and I think a lot of the other labs are also doing the same thing. Is there a way to handle that, or do we just statelessly sort of cut context and it's fine? Do you need a full log of everything that happens? Or no, you just ask the phone. Yeah, right?

A No, no, you don't. Like, I think we, I think they're This is the thing, right? We're very early in the industry still. We're learning a lot about like, what does the model need? What does not need, right? Um, and even today, like some agents start to like drop two call results after a few rounds because they don't need it anymore. And I think that's very, very, very good. And so I think besides compaction, you will see, I, um, just better mechanics of like understanding what you need and what you don't need. Like for a long asynchronous test, you might have a way where like Okay, maybe for a while the model sees it, but once you get the result, you just drop everything else. Or you might, might even call like a small model, like a haiku model and go like, what all this I should retain, tell me, right? Like, you might be like the AGI build approach would be just like, let the model figure out what it needs to retain, right? And so you can, you can see both worlds in them. And I think there's just lots to learn. I think there's not the one answer yet, because I think we're still figuring these type of things out and we're just improving and Compaction, compaction is, is a good step for it, but I don't think it's the last step there either. It's actually the, the most obvious one, but I don't think it's like, I think if you pay more attention to it, if you particularly think about…

AI assessment note: “No, no, you don't.”

Q Are there any other extensions that are similar?

A Uh, we kind of look into like financial services as an extension. We're like, okay, You might, you might end up in a world really a year from now. There might be clients that have like certifications that they are in Amplik and get like, um, a signature that they are like financial services, MCP clients, and they can prove it for the server. And only then the server allows connections because it knows they are respecting attributions, these daily contracts that you put into place. And you will see this everywhere. You will, if you want to deal in the long run with a Public service and public clients that do like deal with HIPAA data, like, like healthcare data, you will have to have guarantees.

AI assessment note: “we kind of look into like financial services as an extension”

Q Is there a roadmap for what you want to add? For example, the agenda commerce protocol, like Chagubiti already uses, but that's not a part of it. Um, There's no model as a part of the foundation. Um, do you already have a roadmap or like you said, you're just kind of like going month by month and what are people using and what should be in there?

A I think we don't have a roadmap in the sense of like projects lined up, but I think what we have is principles by which we will select products to some degree. And I think the effort here is mostly around sitting together after the, now the The foundation is created and then evolving these principles as we're seeing people going to ask us about the projects they would want to put in. Um, and then if develop the foundation, um, further as time goes, but in the moment, I think the most important part is that we have the principles in place and then, um, you go and having the conversations with people who want to be part of this foundation.

AI assessment note: “we don't have a roadmap in the sense of like projects lined up”