DigitalOcean MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DigitalOcean as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="digitalocean_agent",
instruction=(
"You help users interact with DigitalOcean "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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
About DigitalOcean MCP Server
Integrate DigitalOcean, the leading cloud infrastructure provider, directly into your AI workflow. Manage your compute instances (Droplets), monitor block storage and DNS domains, track managed databases, and oversee your App Platform services using natural language.
Google ADK natively supports DigitalOcean as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Compute Oversight — List and retrieve detailed configuration for all your Droplets, including IP addresses and resource status.
- Storage & Networking — Monitor block storage volumes and manage DNS domains directly via chat.
- Managed Databases — Track your database clusters (Postgres, MySQL, Redis) and their technical metadata.
- App Platform Monitoring — Oversee your deployed applications and their active deployment states across projects.
The DigitalOcean MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DigitalOcean to Google ADK via MCP
Follow these steps to integrate the DigitalOcean MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from DigitalOcean via MCP
Why Use Google ADK with the DigitalOcean MCP Server
Google ADK provides unique advantages when paired with DigitalOcean through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DigitalOcean
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine DigitalOcean tools with BigQuery, Vertex AI, and Cloud Functions
DigitalOcean + Google ADK Use Cases
Practical scenarios where Google ADK combined with the DigitalOcean MCP Server delivers measurable value.
Enterprise data agents: ADK agents query DigitalOcean and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine DigitalOcean tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query DigitalOcean regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DigitalOcean
DigitalOcean MCP Tools for Google ADK (10)
These 10 tools become available when you connect DigitalOcean to Google ADK via MCP:
get_account_metadata
Retrieve metadata and limits for your DigitalOcean account
get_droplet_details
Get detailed information for a specific Droplet
list_app_platform_services
List all applications deployed on DigitalOcean App Platform
list_block_storage_volumes
List all block storage volumes across your account
list_cloud_firewalls
List all cloud firewalls and their associated rules
list_cloud_projects
List all logical projects used to group resources
list_compute_droplets
List all compute instances (Droplets) in your DigitalOcean account
list_dns_domains
List all DNS domains managed in DigitalOcean
list_managed_databases
List all managed database clusters (Postgres, MySQL, Redis, etc.)
search_droplets_by_name
Search for a Droplet using a name keyword
Example Prompts for DigitalOcean in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with DigitalOcean immediately.
"List all active Droplets and their IP addresses."
"Show me our managed database clusters."
"What is the status of our App Platform services?"
Troubleshooting DigitalOcean MCP Server with Google ADK
Common issues when connecting DigitalOcean to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDigitalOcean + Google ADK FAQ
Common questions about integrating DigitalOcean MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect DigitalOcean with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DigitalOcean to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
