DigitalOcean

Provision and manage DigitalOcean infrastructure through natural conversation

Your developers ask for Droplets, DNS changes, and Kubernetes clusters through tickets and Slack messages. Your AI agent handles these requests by calling DigitalOcean's API directly, provisioning resources, managing firewalls, and configuring load balancers. Infrastructure operations happen through conversation, not consoles.

Chosen by 800+ global brands across industries

Cloud infrastructure at conversational speed

From spinning up Droplets to configuring VPCs, your AI agent performs 47 DigitalOcean operations that used to require navigating the cloud console or writing API scripts.

DigitalOcean

Use Cases

Cloud ops through conversation, not consoles

Discover how engineering teams eliminate infrastructure request bottlenecks by letting AI agents handle DigitalOcean provisioning, DNS management, and resource auditing.

Developer Self-Service Droplet Provisioning

A developer messages 'I need a 2GB Ubuntu Droplet in NYC3 for testing.' Your AI Agent translates this into the correct API parameters, creates the Droplet with appropriate SSH keys and tags, and returns the IP address and access details. The developer starts working immediately. No Jira ticket, no waiting for the ops team, no console login required.

DNS Record Changes Without the Console

Marketing launches a new landing page and needs a CNAME record for promo.yoursite.com. Instead of filing a request and waiting for an engineer, someone messages the AI Agent with the subdomain and target. The agent creates the record in DigitalOcean DNS, confirms the TTL, and verifies the setup. What used to take a day gets done in a minute.

Infrastructure Audit Before Budget Review

Finance asks engineering how many Droplets, databases, and load balancers are running. Your AI Agent queries DigitalOcean's list endpoints for all resource types, filters by tags like 'production' vs 'staging,' and presents a complete inventory with sizes and regions. The engineering lead walks into the budget meeting prepared, without manually counting resources.

Try
DigitalOcean

DigitalOcean

FAQs

Frequently Asked Questions

What DigitalOcean resources can the AI agent create and manage?

The agent supports 47 operations covering Droplets, Kubernetes clusters, managed databases, block storage volumes, load balancers, firewalls, VPCs, domains, DNS records, SSH keys, tags, images, and snapshots. It can create, list, retrieve, update, and delete most resource types through the DigitalOcean API.

Can I restrict which resources the agent is allowed to provision?

Yes. Configure your agent's rules to limit which operations it can perform. For example, allow Droplet creation only for specific sizes and regions, or require approval for database cluster provisioning. You control the guardrails. The DigitalOcean token's scopes also limit what the API permits.

How does the agent handle Kubernetes cluster creation?

The agent calls DigitalOcean's Kubernetes API with the cluster name, region, version, and node pool specifications you provide in the conversation. It supports auto-upgrade settings, maintenance policies, and resource tagging. The cluster provisions asynchronously and the agent can check its status on follow-up.

Can the agent manage DNS records for domains already on DigitalOcean?

Yes. The agent can create, retrieve, update, and delete DNS records for any domain registered in your DigitalOcean account. It supports A, AAAA, CNAME, MX, TXT, SRV, and CAA record types. You can also create new domains and configure them with initial A records.

Does Tars store my DigitalOcean infrastructure data?

No. All infrastructure queries are performed live against the DigitalOcean API during conversations. Droplet lists, database configurations, and DNS records are fetched in real time and used only for that conversation. Tars does not maintain a separate inventory of your cloud resources.

What happens if someone asks the agent to delete a production Droplet?

You configure the agent's safety rules. Set it to require confirmation before any delete operation, restrict deletions to resources with specific tags like 'staging,' or disable destructive operations entirely. The agent follows your operational policies before executing any irreversible action.

How is using Tars different from DigitalOcean's own control panel?

The control panel requires login, navigation through multiple screens, and manual form filling. Your AI agent handles requests through natural language in Slack, WhatsApp, or your internal tools. Developers describe what they need, the agent provisions it. Especially useful for teams that want self-service infrastructure without giving everyone console access.

What Personal Access Token permissions do I need?

Generate a Personal Access Token from the DigitalOcean control panel under API. For full functionality, grant both read and write scopes. For read-only operations like listing resources or auditing infrastructure, a read-only token works. Enter the token in the Tars dashboard to connect.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

GDPR
ISO
SOC 2
HIPAA

Still scrolling? We both know you're interested.

Let's chat about AI Agents the old-fashioned way. Get a demo tailored to your requirements.

Schedule a Demo