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Model Context Protocol

anthropic.com

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101–110 of 283 posts

Re: Model Context Protocol

#101

Post by mike_hearn »

jascha_eng wrote: post #31

Hmm I like the idea of providing a unified interface to all LLMs to interact with outside data. But I don't really understand why this is local only. It would be a lot more interesting if I could connect this to my github in the web app and claude automatically has access to my code repositories. I guess I can do this for my local file system now? I also wonder if I build an LLM powered app, and currently simply to R…

Local only solves a lot of problems. Our infrastructure does tend to assume that data and credentials are on a local computer - OAuth is horribly complex to set up and there's no real benefit to messing with that when local works fine.

Re: Model Context Protocol

#102

Post by Imnimo »

loeber wrote: post #79
bionhoward wrote: post #75

I love how they’re pretending to be champions of open source while leaving this gem in their terms of use “”” You may not access or use, or help another person to access or use, our Services in the following ways: … To develop any products or services that compete with our Services, including to develop or train any artificial intelligence or machine learning algorithms or models. “””

OpenAI and many other companies have virtually the same language in their T&Cs.

OpenAI says, "[You may not] Use Output to develop models that compete with OpenAI." That feels more narrow than Anthropic's blanket ban on any machine learning development.

Re: Model Context Protocol

#103

Post by will-burner »

melvinmelih wrote: post #100

This is great but will be DOA if OpenAI (80% market share) decides to support something else. The industry trend is that everything seems to converge to OpenAI API standard (see also the recent Gemini SDK support for OpenAI API).

True, but you could also frame this as a way for Anthropic to try and break that trend. IMO they've got to try and compete with OpenAI, can't just concede that OpenAI has won yet.

Re: Model Context Protocol

#104

Post by thund »

melvinmelih wrote: post #100

This is great but will be DOA if OpenAI (80% market share) decides to support something else. The industry trend is that everything seems to converge to OpenAI API standard (see also the recent Gemini SDK support for OpenAI API).

"OpenAI API" is not a "standard" though. They have no interest in making it a standard, otherwise they would make it too easy to switch AI provider.

Anthropic is playing the "open standard" card because they want to win over some developers. (and that's good from that pov)

Re: Model Context Protocol

#105

Post by ineedaj0b »

killthebuddha wrote: post #84

I see a good number of comments that seem skeptical or confused about what's going on here or what the value is. One thing that some people may not realize is that right now there's a MASSIVE amount of effort duplication around developing something that could maybe end up looking like MCP. Everyone building an LLM agent (or pseudo-agent, or whatever) right now is writing a bunch of boilerplate for mapping between mes…

data security is the reason i'd imagine they're letting other's host servers

Re: Model Context Protocol

#107

Post by singularity2001 »

fragmede wrote: post #95
singularity2001 wrote: post #90

Tangential question: Is there any LLM which is capable of preserving the context through many sessions, so it doesn't have to upload all my context every time?

it's a bit of a hack but the web UI of ChatGPT has a limited amount of memories you can use to customize your interactions with it.

"remember these 10000 lines of code" ;)

In an ideal world gemini (or any other 1M token context model) would have an internal 'save snapshot' option so one could resume a blank conversation after 'priming' the internal state (activations) with the whole code base.

Re: Model Context Protocol

#110

Post by computerex »

somnium_sn wrote: post #3

@jspahrsummers and I have been working on this for the last few months at Anthropic. I am happy to answer any questions people might have.

It seems extremely verbose. Why does the transport mechanism matter? Would have loved a protocol/standard about how best to organize/populate the context. I think MCP touches on that but has too much of other stuff for me.
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