Knowing When to Stop Debugging an Integration

We recently moved to a SaaS version of a product we had used on premises. With the old setup, I ran a local MCP server on my laptop and used a personal access token (PAT) to reach the product. I wondered whether the new version could give me a remote MCP connection instead. If it worked, I could stop running that server locally.

It seemed worth a try. I did not want to carry an old workaround into a new setup without checking whether it was still needed.

The trouble was that I could not find a clear answer about remote MCP support in our organization’s setup. There was no guidance I could follow. I tried the standard OAuth flow, and it did not work. I spent time debugging, wondering whether the enterprise configuration was involved. Then I tried a PAT with the remote server. That did not give me a working connection either.

I still do not know whether remote MCP is unsupported, unavailable to us, or simply not configured correctly. Each failure suggested another thing I could test. That is how a small experiment becomes a rabbit hole: there is always one more possibility, and an AI assistant makes it easy to spend more time and tokens chasing it.

Eventually I stopped. The missing answer was not something I could produce by trying more combinations on my laptop. If the organization wants people to use remote MCP, it needs to confirm that the service supports it in our environment, configure the required access, and document the path. If that is not ready, the existing local server remains a workable option for me.

I am glad I questioned the old setup. I also wish I had recognized the boundary sooner. The useful outcome of the experiment was not a new connection; it was knowing when to hand the question back to the people who own the integration.