Scaleway MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 3 tools to Create Instance, List Instances, Perform Instance Action
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Scaleway through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Scaleway MCP Server for OpenAI Agents SDK 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
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Scaleway Assistant",
instructions=(
"You help users interact with Scaleway. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Scaleway"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 3 tools from Scaleway through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Scaleway, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to wire Scaleway into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Scaleway MCP Server
OpenAI Agents SDK provides unique advantages when paired with Scaleway through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Scaleway + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Scaleway MCP Server delivers measurable value.
Automated workflows: build agents that query Scaleway, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Scaleway, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Scaleway tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Scaleway to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Scaleway in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Scaleway to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Scaleway + OpenAI Agents SDK FAQ
Common questions about integrating Scaleway MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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