Name the category, market or competitor set you want to understand.
Custom MCP app
Put market evidence
inside ChatGPT.
Add Orcool as a custom MCP app, then ask for the evidence behind a category pattern and turn the mechanism into a sharper production hypothesis without leaving the conversation.
Custom MCP app availability depends on your ChatGPT plan, workspace policy and admin permissions
Review the source set and the mechanism inferred from it.
Carry the selected mechanism into controlled hooks and variants.
Why it belongs in the conversation
The brief and the evidence stay together.
The goal is not to make ChatGPT sound more confident. It is to give the conversation a callable source layer and keep the chain from observation to test visible.
See what is repeated.
Map the mechanisms competitors and the category keep returning to.
Find what is not yet owned.
Separate open territory from an angle that only looks novel at first glance.
Write controlled routes.
Turn one mechanism into distinct hooks whose differences can be observed in production and spend.
Connect / ChatGPT
Authenticate Orcool, then add it as a custom app.
ChatGPT currently handles remote MCP servers through its Apps and developer-mode flow. Workspace administrators may control access.
then
Step 02 / Remote MCP endpoint
https://mcp.orcool.com
Step 03 / ChatGPT setup
- 1Check custom-app accessYour plan, workspace policy and admin role determine whether you can create or use a custom MCP app.
- 2Open Apps and developer modeUse the Apps settings available to your account to create or add a custom app.
- 3Add the Orcool endpointPaste the URL, complete authentication and make the approved app available to the conversation.
- 4Invoke Orcool in chatSelect the app in the conversation, then ask a narrow market question.
First prompt
Use Orcool to map the three creative mechanisms my category repeats most. Cite the evidence behind each one, identify one open territory, and turn it into three controlled hook hypotheses.
ChatGPT product availability and menu labels can change. Orcool’s invariant is the remote endpoint and authentication flow; workspace access remains controlled by OpenAI and your administrator.
Beyond the answer