Scaleway MCP Server for Google ADKGive Google ADK instant access to 3 tools to Create Instance, List Instances, Perform Instance Action
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Scaleway as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Scaleway MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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="scaleway_agent",
instruction=(
"You help users interact with Scaleway "
"using 3 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 Scaleway MCP Server
Connect your Scaleway account to any AI agent to manage your cloud infrastructure through natural language. This server provides direct access to the Scaleway Instances API.
Google ADK natively supports Scaleway as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 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
- Instance Discovery — List all virtual machines across different availability zones (e.g., fr-par-1, nl-ams-1)
- Provisioning — Create new instances by specifying names, commercial types (like DEV1-S), and image IDs
- Power Management — Remotely power on, power off, or reboot your servers
- Lifecycle Control — Terminate instances that are no longer needed directly from the chat
The Scaleway MCP Server exposes 3 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 3 Scaleway tools available for Google ADK
When Google ADK connects to Scaleway through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-computing, virtual-machines, bare-metal, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create instance on Scaleway
Create a new Scaleway instance (server)
List instances on Scaleway
List Scaleway instances (servers) in a specific zone
Perform instance action on Scaleway
Perform an action on a Scaleway instance (e.g., poweron, poweroff)
Connect Scaleway to Google ADK via MCP
Follow these steps to wire Scaleway into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Scaleway MCP Server
Google ADK provides unique advantages when paired with Scaleway 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 Scaleway
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 Scaleway tools with BigQuery, Vertex AI, and Cloud Functions
Scaleway + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Scaleway MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Scaleway and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Scaleway tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Scaleway regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Scaleway
Example Prompts for Scaleway in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Scaleway immediately.
"List all my instances in the Paris zone (fr-par-1)."
"Create a new DEV1-S instance named 'staging-app' in fr-par-1 using the Ubuntu image."
"Reboot the server with ID 550e8400-e29b-41d4-a716-446655440000 in nl-ams-1."
Troubleshooting Scaleway MCP Server with Google ADK
Common issues when connecting Scaleway to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkScaleway + Google ADK FAQ
Common questions about integrating Scaleway 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?
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