Control cloud infrastructure with AI, without switching contexts
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Tracked since2026
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DigitalOcean's official Model Context Protocol server connects an AI coding client to a DigitalOcean account, so an agent can inspect and operate cloud infrastructure without the developer switching to the control panel or hand-writing API calls. It is organized into service-scoped servers, which means a team enables only the surfaces it wants an agent to touch: App Platform, Droplets, managed databases, Kubernetes, networking, object storage, or account and billing data.
In practice the agent can deploy an application from a repository, read build and deployment logs to diagnose a failed release, redeploy or roll back, create and resize Droplets, provision managed database clusters, list Kubernetes clusters and node pools, and review firewalls, reserved IPs and DNS records. Because responses come back as structured data, the model can chain steps: find the failing app, pull its logs, identify the misconfigured environment variable, then apply the fix.
Authentication uses a DigitalOcean API token, and every call runs with exactly the permissions that token carries, so scoping the token is the main access control. It suits solo developers and small platform teams already running workloads on DigitalOcean who want infrastructure work to happen in the same editor or terminal session as the code. Since it can create and destroy billable resources, a read-only token is the safer default for exploratory use.
Key Features
Service-scoped servers for Apps, Droplets, databases, Kubernetes, networking and storageDeploy applications from a repository, then redeploy or roll back releasesRead build and deployment logs for failure diagnosisCreate, resize and destroy Droplets and managed database clustersInspect firewalls, reserved IPs and DNS recordsAPI token authentication with permissions scoped to the token
Pricing
Freemium
DigitalOcean MCP offers a generous free tier with optional paid upgrades for advanced features.
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DigitalOcean MCP FAQ
How does DigitalOcean MCP help a developer diagnose a failed application deployment?
DigitalOcean MCP connects an AI coding client to a DigitalOcean account so an agent can read build and deployment logs, identify the cause of a failed release, and then redeploy or roll back the application. Because responses come back as structured data, the model can chain steps: find the failing app, pull its logs, identify a misconfigured environment variable, and apply the fix without the developer switching to the control panel.
How does DigitalOcean MCP compare to Terraform for managing cloud infrastructure?
Unlike Terraform, which requires writing and maintaining declarative configuration files and running commands manually, DigitalOcean MCP lets an AI agent inspect and operate cloud infrastructure directly from an editor or terminal session using natural language. However, Terraform provides infrastructure-as-code state management and multi-cloud support, while DigitalOcean MCP is specific to DigitalOcean and relies on the permissions of the API token used.
Which teams benefit most from using DigitalOcean MCP?
Solo developers and small platform teams already running workloads on DigitalOcean benefit most, as they can perform infrastructure tasks like deploying applications, creating Droplets, and provisioning databases without leaving their editor or terminal session.
How is DigitalOcean MCP priced?
DigitalOcean MCP is available on a free tier, with paid plans for more usage and features.
Can DigitalOcean MCP manage Kubernetes clusters and node pools?
Yes, DigitalOcean MCP can list Kubernetes clusters and node pools, allowing an agent to inspect and interact with Kubernetes infrastructure directly from an AI coding client.
Does DigitalOcean MCP support managing multiple types of cloud resources with a single agent?
Yes, DigitalOcean MCP is organized into service-scoped servers, so a team can enable only the surfaces it wants an agent to touch, including App Platform, Droplets, managed databases, Kubernetes, networking, object storage, and account and billing data.
How does authentication work for DigitalOcean MCP?
Authentication uses a DigitalOcean API token, and every call runs with exactly the permissions that token carries, so scoping the token is the main access control for what the agent can do.
Source: docs.digitalocean.com