DigitalOcean MCP
Let AI agents provision and operate DigitalOcean infrastructure through MCP
A Model Context Protocol integration connects autonomous agents to the DigitalOcean API so they can inspect and act on real infrastructure — creating Droplets and App Platform deployments, querying Managed Databases, managing Spaces objects, and reading billing and monitoring data. Agents work against live resources with the same primitives our engineers use, inside guardrails we define. This turns routine provisioning, deployment, and cost-hygiene work into supervised agent tasks.
Create, resize, snapshot, and destroy Droplets, DOKS clusters, and reserved IPs from natural-language intent, scoped to a project and region.
Trigger and roll back App Platform deploys, read build and runtime logs, and update environment variables and app specs.
Query Managed Database metrics, manage users and connection pools, and list, upload, or purge Spaces objects and CDN caches.
Pull billing, monitoring, and alert data to flag idle resources, spend spikes, and failing health checks.
An agent reads a project brief, provisions a Droplet or App Platform app with a Managed Postgres instance inside a fresh VPC, and returns credentials — turning a half-day setup into a reviewed pull-request-style approval.
On a schedule, an agent audits billing and monitoring, identifies idle Droplets, oversized databases, and stale snapshots, and proposes or executes cleanup within approved thresholds.
An agent triggers an App Platform deploy, tails logs, checks health endpoints and monitoring, and rolls back automatically if error rates cross a defined bound.
We scope API tokens to specific projects and permissions, keep destructive actions behind human approval, and log every call. Agents operate within budget and resource guardrails we set per engagement.
An MCP server that wraps the DigitalOcean API, exposing typed tools for compute, App Platform, databases, Spaces, and billing so the agent takes concrete actions rather than guessing at CLI syntax.
Yes. The same integration covers provisioning Droplets and clusters and operating App Platform deploys, database maintenance, and Spaces storage, so an agent can own a workflow end to end under supervision.
