Bring Cloud Computing
to Mastra AI
Learn how to connect DigitalOcean to Mastra AI and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the DigitalOcean MCP Server?
Connect your DigitalOcean cloud account to any AI agent and take full control of your infrastructure management and monitoring workflows through natural conversation.
What you can do
- Droplet Management — List all virtual machines (Droplets) and retrieve detailed metadata including status, IP addresses, and hardware specs programmatically
- Domain & DNS Control — Query and manage your domain names and DNS configurations to ensure service availability and correct routing in real-time
- Database Monitoring — Track the status and connection endpoints of your managed PostgreSQL, MySQL, and Redis clusters directly through your agent
- Kubernetes Insights — List all DOKS (DigitalOcean Kubernetes Service) clusters and retrieve health metadata to oversee your containerized deployments
- Resource Inventory — Access account-wide actions, disk images, snapshots, and block storage volumes for a comprehensive high-fidelity overview
How it works
1. Subscribe to this server
2. Retrieve your Personal Access Token from the DigitalOcean dashboard (API > Tokens)
3. Start managing your cloud resources from Claude, Cursor, or any MCP client
No more manual dashboard navigation or searching for IP addresses. Your AI acts as your dedicated cloud architect and SRE coordinator.
Who is this for?
- DevOps Engineers — instantly retrieve droplet specs and check database health using natural language commands
- System Administrators — monitor account actions and manage DNS records without leaving your communication tools
- Technical Founders — orchestrate your startup's cloud infrastructure and monitor snapshots through simple AI queries
Built-in capabilities (9)
Useful for verifying resource availability. Get DigitalOcean account details
Get details for a specific Droplet
Useful for auditing and monitoring changes. List historical account actions
Includes cluster status, engine versions, and endpoints. List managed database clusters
Essential for reviewing web configurations. List all managed DNS domains
Includes metadata such as status, IP addresses, and specs. List all active Droplets
Useful for resource recovery and deployment. List snapshots and disk images
Includes information about cluster health, versions, and nodes. List all Kubernetes clusters
Includes size, region, and current attachment status. List block storage volumes
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and DigitalOcean tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DigitalOcean without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every DigitalOcean tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DigitalOcean in Mastra AI
DigitalOcean and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DigitalOcean to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DigitalOcean in Mastra AI
The DigitalOcean MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
DigitalOcean for Mastra AI
Every tool call from Mastra AI to the DigitalOcean MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp