±icon->Homey. You do need the “Homey” ChatGPT app of course, because you need to link it to your account
The only App I have installed is the Homey Docs Companion which I have used to setup Claude to audit and document my smart home environment.
I am using ChatGpt simply via the browser using the link that I was taken to by following prompts in the email from Athom. It totally knows my environment and has written disabled enhanced flows to document a strategy it developed to rewrite one of my very complex flows.
I have connected ChatGPT to Homey.
This is really fantastic. However, whenever ChatGPT creates a flow, it keeps showing that Homey gives the message: “Too many requests.”
Can this be solved?
Anyone got a good place or md file with all apps, devices, When, and, then cards, tags, how thigns connects, common gotchas and so on?
I’m using Claude to build pretty complex automations in microsoft environments in different languages, building MCP servers and what not but Claude can barely create a flow worth the name.
So I’m guessing it lacks in training and the kb I’ve created so far isn’t much.
I’ve had it read all the official pages but yeah, it’s still pretty stupid. ![]()
I would like the AI to start flows with a parameter (mainly a string in most of my cases). The current API/tool „start_flow“ does not support this. - Could you enhance the tools to start flows with a parameter?
ChatGPT complains the the JSON it gets for an advanced flow, with about 100 cards, is getting truncated.
The ability to create and fine-tune Advanced Flows using ChatGPT through MCP is really impressive.
For example, I can now create custom OpenAI prompts that analyse tvo independent solar PV systems, evaluate its current state, estimate the expected production and potential energy exports at specific times, and then automatically deliver the result to the relevant people in a clear, human-readable form.
All of this combines data from several fantastic Homey apps developed by the community, together with Advanced Flows, HomeyScript and AI-based interpretation.
Simply: wow. I honestly did not expect this level of flexibility and integration. Very well done!
I tested the Homey MCP server some time ago and posted feedback about a few limitations and issues I encountered.
Is there any way to know whether the MCP server has been updated since then? For example, is there a changelog, version number, release notes, or a list of recently fixed issues somewhere?
Or is the only reliable way to find out to reconnect the integration and repeat the same tests?
I would also be interested to hear whether anyone has recently retested functionality that previously did not work properly, and whether you have noticed any improvements.