How to Query Your Trading Research From Claude Desktop or ChatGPT (MCP)
Here's a small thing that turned out to be a big thing for how I actually use my research: I stopped going to a separate app to search my newsletters, and started just asking Claude.
Not asking Claude what it thinks about a stock. Claude doesn't know what my creators said last week, and I don't want its generic opinion anyway. I mean asking Claude to search my archive, the actual newsletters and videos from the specific people I follow, and hand me back their words. Right there in the chat window I already have open all day.
That connection is called MCP, and once you set it up, the friction between "I have a question" and "here's what my creators said about it" basically drops to zero. Which sounds minor until you realize the friction was the whole reason you weren't using your research in the first place.
Quick answer: how do you query trading research from Claude or ChatGPT?
You connect your research archive to the assistant using MCP (Model Context Protocol), a standard way for tools like Claude Desktop and ChatGPT to plug into external data. Once connected, the assistant can search your archive as a tool. You ask a normal question in the chat, it pulls the relevant passages from your newsletters and videos, and answers with citations to the specific creators. No separate app, no copy-pasting. It lives where you already work.
What MCP actually is (the two-sentence version)
MCP is a standard that lets AI assistants talk to outside tools and data sources in a consistent way. Think of it like a universal adapter: instead of every app building a custom integration for every assistant, MCP gives them one shared plug.
The practical upshot for you is that a tool holding your trading research can expose itself to Claude or ChatGPT as something the assistant can use. So when you ask a question, the assistant knows it can reach into your archive to answer it, the same way it might reach for a calculator or a web search. You don't have to think about any of the plumbing. You just ask.
Why this beats a separate search box
I built a perfectly good search interface into Adviserry. You can go to the app, type your question, get your answer. It works great. And I still find myself using the MCP connection more, and it took me a minute to figure out why.
It's the context-switch. When a question hits you, it hits you in the middle of something else. You're already in a chat with Claude working through a research problem, or drafting notes, or thinking out loud. The moment you have to stop, open a different app, and search there, you've broken your own flow, and half the time the question just evaporates because the interruption wasn't worth it.
The best place to search your research is wherever you already are. For a lot of us, that's now an AI chat window. So being able to say, mid-thought, "what have my creators said about semis lately," and get attributed answers without leaving the conversation, is the difference between actually using your archive and letting it sit there.
What it looks like in practice
Say you're in Claude Desktop, thinking through something. You type:
"Search my archive: what have the creators I follow said about the dollar over the last month?"
Claude, connected to your Adviserry archive via MCP, pulls the relevant passages and answers with the actual takes, attributed to who said them and when. You can follow up right there. "Which of them was more cautious?" "Show me the earlier one from the newsletter, not the video." It's a conversation with your own research, in the tool you already trust for conversations.
Worth being clear about what comes back, because trader context means the rules are strict and that's a good thing. The assistant, pulling from Adviserry, reports what your creators said. Attributed. Quoted. Dated. It's not going to hand you a trade or a verdict, and if you ask it "what should I buy," the honest answer redirects you to "here's what your creators have said about that topic." It's a research interface, not an advice machine. That's exactly the line you want it to hold.
Setting it up (the short of it)
The full walkthrough lives in the app, but the shape of it is simple. Adviserry gives you a connection token. You add Adviserry as an MCP server in Claude Desktop's config (or connect it in ChatGPT where connectors are supported), paste the token, and you're done. From then on, the assistant can search your archive as a tool whenever you ask.
A couple of things I'd flag so you don't trip on them. The token goes in the connection config, not in a URL, for security reasons (tokens in URLs leak all over the place). And you'll want to phrase questions so it's clear you're asking about your archive, especially early on, so the assistant reaches for the tool instead of answering from its own general knowledge. After a few tries it becomes second nature.
Why I think this is where research is heading
For years the pattern was: go to the tool, do the thing in the tool, come back. Search lived in search apps. Research lived in research apps. You context-switched constantly, and the switching cost was invisible but huge.
MCP quietly flips that. The tools come to you, inside the assistant you're already using to think. Your trading archive stops being a destination you have to visit and becomes a capability the assistant has, available in the exact moment a question shows up. That's a much more natural way to work, and once you've used it, going back to hopping between apps feels weirdly clunky.
I'm biased, I built the connector. But this genuinely changed my own habits more than any feature I've shipped. The archive I mostly forgot to open became the thing I ask about ten times a day, purely because asking got easy.
If you want to try it, start your archive, connect a few creators, and hook it into Claude Desktop. The first time you ask a question mid-conversation and get your own creators' words back, you'll see why the separate search box started collecting dust.
Adviserry is an educational and research aggregation tool, not a registered investment adviser. Nothing here is financial advice or a recommendation to buy, sell, or hold any security. Summaries reflect what creators you follow have published. Past performance and creator commentary do not predict future results.