Spinning up your first MCP server feels like a five-minute job. Then you add a second one, and a third, and one morning you realize you're not building your product anymore, you're running a server farm. Here's the part nobody warns you about.
Spinning up your first MCP server feels great.
You clone a repo, set an environment variable or two, run it locally, and suddenly your agent can read files or hit the GitHub API. Ten minutes, tops. You lean back and think, "that was easy, why does everyone make this sound hard?"
Then you add a second server. And a third. And one for Slack, one for Notion, one for your database. And somewhere around the sixth one, lying in bed at night, it hits you. You're not building your product anymore. You're running a tiny, badly-organized server farm, and every one of those servers wants attention.
This is the part nobody puts in the quickstart guide. So let me put it here.
Here's the thing about that first server running on localhost. It works because you are the entire infrastructure.
You're the load balancer (there's one user, it's you). You're the secrets manager (the keys are in your .env file). You're the uptime monitor (you'd notice if it broke, probably). You're the deploy pipeline (you ran python server.py). None of that scales past your laptop, but on your laptop it all looks like it just works.
The moment a real user hits that server, every one of those invisible jobs becomes a real job. And you're the one who has to do all of them.
Let's actually list what running one MCP server in production means. Not to scare you, just so it's written down somewhere.
You have to host it. Which means a server, a container, a process manager, something. You have to keep it running, so now you need monitoring and a way to restart it when it dies at 3am (it will die at 3am). You have to patch it when the upstream package ships a fix, and you have to do that for every server, every time. You have to scale it when traffic spikes, which means thinking about concurrency and memory and all the things you were happily ignoring on localhost.
That's one server. Now multiply it by the dozen integrations a half-decent agent actually needs.
Nobody quotes you this number when you start. It hides. It shows up later as the reason you spent your whole Tuesday restarting a Notion connector instead of building the feature you actually care about.
This is the one that got me.
Every server needs credentials. The GitHub one needs a token. The Slack one needs a bot token. Stripe needs a key, your database needs a connection string, and on and on. So now you've got a dozen secrets scattered across a dozen .env files and config blocks.
Where do they live? Who can see them? What happens when one of them rotates? (Spoiler: the automation that depended on it silently breaks, and you find out three days later when something that was supposed to run, didn't.)
And here's the genuinely scary part. In a lot of naive MCP setups, those keys can end up getting passed around as tool parameters, which means they can end up sitting inside the model's context. You did not mean to put your Stripe key in front of an LLM, but the architecture quietly did it for you. That's not a hypothetical, that's a real failure mode people have shipped.
Juggling credentials by hand doesn't just waste time. It's the kind of thing that's fine right up until the moment it really, really isn't.
Here's what nobody tells you about the math.
The promise of MCP is that connecting a tool to your agent should take minutes. And the protocol itself delivers on that. Writing the integration logic genuinely is fast.
But the surrounding work, the hosting, the auth, the patching, the scaling, the credential juggling, quietly turns those minutes back into days. You save time on the part that was already easy and pour it all into the part that was always going to be hard. The actual integration is a small slice of the work. The infrastructure wrapped around it is the rest of the iceberg.
So you end up spending your days being a part-time SRE for servers that aren't even your core product. That's the hidden cost. Not the hosting bill. The you-shaped hole where your actual work was supposed to go.
You've got two honest options.
Option one: roll your own. Build the gateway, the secrets manager, the monitoring, the auth layer, all of it. This is a real and valid choice, especially if your needs are unusual or you've got infra people with spare time (lol). But be honest with yourself about what you're signing up for. You're not building one thing, you're building the platform underneath the thing.
Option two: put a managed gateway in front of it all. One endpoint your agents talk to, with the hosting, scaling, patching, and credential storage handled for you. Your keys live in one secure place and get injected at request time, so they never end up in your code or in the model's context. You pick the servers you want from a catalog and you're connected, without standing up a single box yourself.
The whole point is to get the "minutes" promise back. Connect a tool, have it actually work in production, and go back to building the thing you set out to build.
That's the bet we made with MewCP, honestly because we got tired of being part-time server babysitters ourselves. A hosted gateway, managed auth so your agents never touch raw credentials, and a catalog of servers you connect to instead of host. We even open-sourced the credential-handling piece (fastmcp-credentials) after we hit the keys-in-context problem head-on, because it felt wrong to keep that fix to ourselves.
But whether you use us or build it yourself, do one thing first.
Before you spin up that next MCP server, count the real cost. Not the ten minutes to start it. The months of keeping it alive.
That's the number that actually matters. Everything else is just the quickstart guide being optimistic.
If this saved you a future Tuesday, that's the whole reason I wrote it.
