DigitalOcean MCP for AI. Query your entire cloud stack status in natural language.
Works with every AI agent you already use
…and any MCP-compatible client








How this MCP server connects to your AI agent
DigitalOcean MCP connects your AI agent directly to your cloud account. You can list and inspect all virtual machines, check database cluster health, map DNS records, and audit resource actions—all through natural conversation.
It lets you manage infrastructure monitoring without ever leaving your IDE or chat window.
What AI agents can do with DigitalOcean Automation
Get account info
Retrieves basic account details, useful for verifying overall resource availability and status.
Get droplet details
Fetches specific metadata—IPs, specs, etc.—for one designated virtual machine (Droplet).
List actions
Provides a history of account actions, which is critical for auditing and monitoring changes.
List all virtual machines (Droplets), snapshots, block storage volumes, and account metadata in one query.
Retrieve a chronological list of every action taken on the account for auditing purposes.
Check the current operational status and connection endpoints for managed MySQL, PostgreSQL, and Redis clusters.
Query and review all associated DNS domains and their specific record configurations.
List DigitalOcean Kubernetes Service (DOKS) clusters and pull the current health metadata for those environments.
Ask an AI about this
Waiting for input…
What AI agents can do with DigitalOcean MCP: 9 Tools for Full Resource Control
Use these tools to programmatically query every aspect of your DigitalOcean account—from live server status to historical actions and attached volumes.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using DigitalOcean on VinkiusGet Account Info
Retrieves basic account details, useful for verifying overall resource availability and status.
Get Droplet Details
Fetches specific metadata—IPs, specs, etc.—for one designated virtual machine...
List Actions
Provides a history of account actions, which is critical for auditing and monitoring...
List Kubernetes Clusters
Provides details on all managed Kubernetes clusters, including health metrics and...
List Databases
Lists all managed database clusters, including their current status, engine version...
List Domains
Retrieves a full list of all domains managed under the account's DNS configuration.
List Droplets
Lists every active virtual machine, providing status, IP addresses, and core hardware specifications.
List Images
Finds available snapshots and disk images, necessary for resource recovery or...
List Volumes
Lists block storage volumes across the account, detailing their size, region, and...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with DigitalOcean, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DigitalOcean. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 9 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Today, reviewing infrastructure means clicking through five different dashboards., Solved with Vinkius AI Gateway
You open the console. First, you check the Droplet list for IPs and statuses. Then you switch over to DNS settings to verify domain records are correct. If that's good, you jump to the database tab to see if PostgreSQL is online. Finally, you cycle through volumes and snapshots just to make sure everything has a backup. It's tedious clicking and copy-pasting of IDs.
With this MCP, you simply ask your agent: 'Give me an inventory report on all active services.' You get the status for droplets, databases, domains, and more—all consolidated in one response from your AI client. You stop managing dashboards; you start talking to your infrastructure.
The DigitalOcean MCP gives you direct command over resource visibility.
You no longer need separate processes for listing resources. Instead of manually checking `list_droplets` and then cross-referencing those IPs in the DNS panel, your agent handles the correlation instantly, giving you a unified view of connectivity and status.
What's different now is that visibility is instantaneous and conversational. You ask it; it executes multiple checks across account info, droplets, and databases, and gives you one clean answer. Period.
What your AI can actually do with this
Managing a multi-service cloud stack means hopping between dashboards to verify everything: are the droplets running? Is the latest snapshot available? Are the domains pointing correctly?
This MCP gives your agent direct API access to your DigitalOcean account. You talk to it like you’re talking to an SRE—you ask for a list of all active virtual machines, or you ask for the connection status of PostgreSQL clusters. Your AI client handles the querying and returns structured data instantly.
It's about moving from manual investigation to direct query. Whether you use your agent through Claude, Cursor, or any Vinkius-compatible client, you treat your entire infrastructure—from droplets to volumes—as a single dataset. You get instant visibility into everything from DNS records to Kubernetes cluster health.
019dd0e0-58cd-7396-9416-9c5238777fe2 Here's how it actually works
The bottom line is that you pass the complexity of the cloud API to your AI client; you just ask what you need.
Subscribe to this MCP on Vinkius and grab your Personal Access Token from the DigitalOcean dashboard.
Paste that token into your AI client's configuration panel. Your agent now has read-only access credentials.
Start by asking your agent a direct question, like 'List all active Droplets.' It executes the necessary API calls and formats the resulting data for you.
Who is this actually for?
Anyone managing IaaS resources who hates clicking through 17 different dashboard tabs. This targets engineers and ops staff who need immediate, scriptable visibility into their entire cloud footprint.
Needs to check droplet specs or database health on the fly without switching context from their primary coding environment.
Must audit account actions and manage DNS records for compliance, treating the entire system as a single source of truth.
Wants quick status updates on infrastructure (like listing snapshots or volumes) to make rapid deployment decisions without involving an ops team.
What Changes When You Connect
Stop context switching. You can check the health of a PostgreSQL cluster using list_databases and then immediately cross-reference its associated domain records via list_domains, all within one chat session.
Audit trails are simple. Instead of digging through logs, use list_actions to pull an immediate summary of account activity. It’s faster than checking the dashboard history.
Manage resource versions easily. Need a snapshot? Use list_images to find available disk images and then get_droplet_details to verify which Droplets can be rebuilt from them.
Get a complete picture of your servers. One call to list_droplets gives you the status, IPs, and specs for every virtual machine without clicking anything.
Handle complex deployments. You can list all Kubernetes clusters with list_kubernetes_clusters and pull out the health metadata needed to confirm deployment readiness.
See it in action
A staging site is offline, but I don't know why.
The agent uses get_droplet_details to find the IP for 'Staging-Web'. It then checks list_databases and finds that the primary PostgreSQL cluster connection point failed. The issue isn't the VM; it's the database link.
I need to verify if a new domain name points correctly after migration.
The agent runs list_domains to confirm the record exists, and then uses get_account_info to ensure billing status is clean. It confirms both DNS records and account health are good to go.
We suspect a resource was manually altered last night.
The system admin asks the agent to run list_actions. The resulting log shows exactly which user changed what, when. This is far more efficient than reviewing manual logs.
I need to provision a new environment from scratch.
The agent uses list_images to find the correct base snapshot. It then checks list_volumes to ensure sufficient block storage is available before initiating the Droplet creation command.
The honest tradeoffs
Checking one tool at a time
Running 'List Droplets' -> Copied IPs -> Switching tabs -> Running 'Show Domains' -> Manually correlating which IP belongs to which domain.
Ask the agent for a combined view. For example: 'List all active droplets and show their associated DNS records.' This eliminates manual correlation.
Relying solely on documentation
Reading through pages of API docs to figure out if I need list_volumes or just the volume attachment status.
Just ask. 'What volumes are attached to my primary Droplet?' The agent interprets the required tool call (list_volumes) and executes it.
Treating infrastructure as discrete items
Assuming that because a domain exists, its record must be configured correctly. You might miss an outdated CNAME entry.
Always run list_domains first. This gives you the full source of truth for all DNS records before assuming anything about connectivity.
When It Fits, When It Doesn't
Use this MCP if your workflow involves constant, multi-resource checking (e.g., 'Check Droplet A's status and ensure its associated database cluster is online'). It’s designed for orchestration—you treat the entire cloud environment like a single state machine.
Don't use it if you only need to perform a single, isolated action that doesn't require checking dependency health. For example, if you just want to view raw logs or access metrics from an external monitoring system, this MCP won't help; you'll need the native tool for that service.
The key is understanding resource relationships: list_droplets tells you what exists, but checking database status with list_databases tells you if it's currently usable. You need both to confirm readiness.
Questions you might have
How do I check the health of my servers using get_droplet_details? +
You pass the specific Droplet ID or name to the agent. It returns detailed metadata, including status and hardware specs for that single virtual machine.
Can list_databases check if my cluster is backed up? +
The list_databases tool checks operational status (online/offline) and connection endpoints. For backup history or retention policy, you'll need to use the native DigitalOcean dashboard.
What does list_volumes do for my storage? +
It lists all block storage volumes associated with your account. You get details on their size, region, and whether they are currently attached to a Droplet or not.
Is get_account_info the only way to check my billing status? +
No, get_account_info provides general account details. For detailed financial records or usage reports, you still need to use the main DigitalOcean billing panel.
What does using list_actions show about my account's history? +
It provides a full audit trail of your account activity. You can review who made changes and when, giving you visibility into system modifications.
How do I use list_domains to check my web configurations? +
This tool lists all managed DNS domains and their current records. It's essential for verifying that your A or CNAME records point where they should.
When is it best to run list_images for resource recovery? +
You use this when you need to revert to a previous state. It shows available snapshots and disk images, letting you recover resources or deploy from an older version.
Can I check the overall health of my container setups using list_kubernetes_clusters? +
Yes, it retrieves detailed metadata about your DOKS clusters. You get information on cluster versions and node status to assess stability at a glance.
How do I find my DigitalOcean Access Token? +
Log in to the Cloud Control Panel, navigate to API in the sidebar, and click Generate New Token under Personal Access Tokens.
Can I perform destructive actions like deleting droplets? +
No. The current toolset is focused on querying and monitoring resources. Destructive or state-altering commands are not exposed via the agent.
How do I get technical details for a specific Droplet? +
Use the get_droplet_details tool with the Droplet's numeric ID to retrieve full networking and configuration metadata.
We've already built the connector for DigitalOcean. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 9 tools are live and waiting.
You're up and running in seconds.
Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.