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Claude Integrations

anthropic.com

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Re: Claude Integrations

#161

Post by marifjeren »

meander_water wrote: post #139

Looks like this is possible due to the relatively recent addition of OAuth2.1 to the MCP spec [0] to allow secure comms to remote servers. However, there's a major concern that server hosters are on the hook to implement authorization. Ongoing discussion here [1]. [0] https://modelcontextprotocol.io/specification/2025-03-26 [1] https://github.com/modelcontextprotocol/modelcontextprotocol...

That github issue is closed but:

> major concern that server hosters are on the hook to implement authorization

Doesn't it make perfect sense for server hosters to implement that? If Claude wants access to my Jira instance on my behalf, and Jira hosts a remote MCP server that aids in exposing the resources I own, isn't it obvious Jira should be responsible for authorization?

How else would they do it?

Re: Claude Integrations

#162

Post by dimitri-vs »

greymalik wrote: post #142
throwup238 wrote: post #16

The leap frogging at this point is getting insane (in a good way, I guess?). The amount of time each state of the art feature gets before it's supplanted is a few weeks at this point. LLMs were always a fun novelty for me until OpenAI DeepResearch which started to actually come up with useful results on more complex programming questions (where I needed to write all the code by hand but had to pull together lots of d…

Out of curiosity - can you give any examples of the programming questions you are using deep research on? I’m having a hard time thinking of how it would be helpful and could use the inspiration.

Easy, any research task that will take you 5 minutes to complete it's worth firing off a Deep Research request while you work on something else in parallel.

I use it a lot when documentation is vague or outdated. When Gemini/o3 can't figure something out after 2 tries. When I am working with a service/API/framework/whatever that I am very unfamiliar with and I don't even know what to Google search.

Re: Claude Integrations

#163

Post by jimbokun »

ijk wrote: post #85
notgiorgi wrote: post #39

Earlier quoted context omitted.

why is finetuning talked about so much less than RAG? is it not viable at all?

There were initial difficulties in finetuning that made it less appealing early on, and that's snowballed a bit into having more of a focus on RAG. Some of the issues still exist, of course: * Finetuning takes time and compute; for one-off queries using in-context learning is vastly more efficient (i.e., look it up with RAG). * Early results with finetuning had trouble reliably memorizing information. We've got a muc…

So is a good summary:

1. If you have a large corpus of valuable data not available to the corporations, you can benefit from fine tuning using this data.

2. Otherwise just use RAG.

Re: Claude Integrations

#164

Post by jimbokun »

bjornsing wrote: post #86

The strategic business dynamic here is very interesting. We used to have "GPT-wrapper SaaS". I guess what we're about to see now is the opposite: "SaaS/MCP-wrapper GPTs".

The GPT wrappers were always going to be subsumed by improvements to the models themselves.

LLMs wrapping the services makes more sense, as the data stored in those services adds a lot of value to off the shelf LLMs.

Re: Claude Integrations

#165

Post by tkgally »

For the past couple of months, I’ve been running occasional side-by-side tests of the deep research products from OpenAI, Google, Perplexity, DeepSeek, and others. Ever since Google upgraded its deep research model to Gemini 2.5 Pro Experimental, it has been the best for the tasks I give them, followed closely by OpenAI. The others were far behind.

I ran two of the same prompts just now through Anthropic’s new Advanced Research. The results for it and for ChatGPT and Gemini appear below. Opinions might vary, but for my purposes Gemini is still the best. Claude’s responses were too short and simple and they didn’t follow the prompt as closely as I would have liked.

Writing conventions in Japanese and English

https://claude.ai/public/artifacts/c883a9a5-7069-419b-808d-0...

https://docs.google.com/document/d/1V8Ae7xCkPNykhbfZuJnPtCMH...

https://chatgpt.com/share/680da37d-17e4-8011-b331-6d4f3f5ca7...

Overview of an industry in Japan

https://claude.ai/public/artifacts/ba88d1cb-57a0-4444-8668-e...

https://docs.google.com/document/d/1j1O-8bFP_M-vqJpCzDeBLJa3...

https://chatgpt.com/share/680da9b4-8b38-8011-8fb4-3d0a4ddcf7...

The second task, by the way, is just a hypothetical case. Though I have worked as a translator in Japan for many years, I am not the person described in the prompt.

Re: Claude Integrations

#166

Post by cruffle_duffle »

marifjeren wrote: post #161
meander_water wrote: post #139

Looks like this is possible due to the relatively recent addition of OAuth2.1 to the MCP spec [0] to allow secure comms to remote servers. However, there's a major concern that server hosters are on the hook to implement authorization. Ongoing discussion here [1]. [0] https://modelcontextprotocol.io/specification/2025-03-26 [1] https://github.com/modelcontextprotocol/modelcontextprotocol...

That github issue is closed but: > major concern that server hosters are on the hook to implement authorization Doesn't it make perfect sense for server hosters to implement that? If Claude wants access to my Jira instance on my behalf, and Jira hosts a remote MCP server that aids in exposing the resources I own, isn't it obvious Jira should be responsible for authorization? How else would they do it?

The authorization server and resource server can be separate entities. Meaning that jira instance can validate the token but not be the one issuing it or handling credentials.

Re: Claude Integrations

#167

Post by knowaveragejoe »

turblety wrote: post #57
mkagenius wrote: post #23

are people really doing this mcp thing, yikes. Tomorrow, let me reinvent css as model context design (mcd)

Is there a reason they went and built some new standard, rather than just using a http api?

You can use either HTTP or stdio.

Re: Claude Integrations

#168

Post by tomrod »

Balgair wrote: post #151
sxg wrote: post #148

Earlier quoted context omitted.

That's actually not what deep research is for, although you can obviously use it however you like. Your query is just raw data collection—not research. Deep research is about exploring a topic primarily with academic and other high-quality sources. It's a starting point for your own research. Deep research creates a summary report in ~10 min from more sources than you could probably read in a month, and then you can…

I think we have very different definitions of the word 'research' then. I'd say that what you're saying is 'synthesis'. The 'Intro/Discussion' sections of a journal article. For me, 'research' means the work of going through and getting all the data in the first place. Like, going out and collecting dino bones in the hot sun, measuring all the soil samples, etc. - that is research. For me, asking these models to go c…

It's excellent at producing short literature reviews on open access papers and data. It has no sense of judgment, trusting most sources unless instructed otherwise.

Re: Claude Integrations

#169

Post by emorning3 »

greymalik wrote: post #142
throwup238 wrote: post #16

The leap frogging at this point is getting insane (in a good way, I guess?). The amount of time each state of the art feature gets before it's supplanted is a few weeks at this point. LLMs were always a fun novelty for me until OpenAI DeepResearch which started to actually come up with useful results on more complex programming questions (where I needed to write all the code by hand but had to pull together lots of d…

Out of curiosity - can you give any examples of the programming questions you are using deep research on? I’m having a hard time thinking of how it would be helpful and could use the inspiration.

I often use Chrome to valid what I think I know.

I recently asked Chrome to show me how to apply the Knuth-Bendix completion procedure to propositional logic, and I had already formed my own thoughts about how to proceed (I'm building a rewrite system that does automated reasoning).

The response convinced me that I'm not a total idiot.

I'm not an academic and I'm often wrong about theory so the validation is really useful to me.

Re: Claude Integrations

#170

Post by OhioMan2943 »

dimgl wrote: post #81

This is great, but can you fix Claude 3.7 and make it more like 3.5? I'm seriously disappointed with 3.7. It seems to be performing significantly worse for me on all tasks. Even my wife, who normally used Claude to create interesting recipes to bake cookies, has noticed a huge downgrade in 3.7.

3.7 seems to be way more filler and ambiguity and less insights for me.
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