Think inside your AI world.
DigitalOcean through Unl
Droplets, apps and clusters, read straight from the account, then checked against the deploy rule you actually ratified.
DigitalOcean through Unl reads droplet, app and cluster state against the deploy criteria you have ratified, so 'is this app ready to redeploy' comes back provisional, with the condition it hasn't met.
What DigitalOcean holds
DigitalOcean through Unl reads what the account already knows:
- Lists every droplet, app and Kubernetes cluster on the account, with region and plan
- Reads App Platform deployment status and history for a named app
- Inspects database status, connection details and backup configuration
- Pulls logs and events for a running droplet or app
- Checks which regions and services are actually available before a spin-up
What the naked read gives you
Ask DigitalOcean's own MCP server whether a droplet is production-ready and it will tell you exactly what it has: region, plan, uptime, the last deployment, the current logs. That's a genuinely useful, accurate read of infrastructure state, and for a lot of questions it's all you need.
The frame judges the data it is given; it does not verify the source’s accuracy.
What changes when DigitalOcean is read measured
An infrastructure lead ratified that no production app redeploys without a passing health check logged in the last hour — the last outage traced straight back to a stale deploy nobody had actually verified.
'Is this app ready to redeploy?' returns, measured: provisional, pending a health check inside the ratified window, because the last verified check is older than the hour the rule allows. DigitalOcean supplied the deployment and log data; your ratified rule supplied the health-check window.
And back again
That answer doesn't vanish once the terminal closes — Unl keeps the read, the ratified rule and the outcome together, so the next person asking about the same app inherits the same finding instead of starting a fresh guess.
The answer comes back measured against what you already decided, and why.
The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Questions people ask
What clears an app from provisional to cleared?
A fresh health check logged inside the window the rule requires. Once DigitalOcean's own deployment data shows a passing check inside that hour, the same question returns cleared instead of provisional - the rule hasn't moved, the evidence has.
How do I connect DigitalOcean to Claude?
Add DigitalOcean's remote MCP endpoint, or run the local server, as an MCP connector in Claude Code or Claude Desktop, and authorise it against your DigitalOcean account. Its App Platform, Droplets, Kubernetes and Database tools then become read sources Unl can query directly.
Does Unl change anything in my DigitalOcean account?
No. The read runs one way - DigitalOcean's own account data is queried and measured against your ratified rule; nothing is created, redeployed or restarted in Droplets, Apps or Databases as a result.
What this is
Think inside your AI world — you stay in command
Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.
It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.
Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:
Alpha is invite-only · free at launch.