Scaleway MCP Server for AutoGenGive AutoGen instant access to 3 tools to Create Instance, List Instances, Perform Instance Action
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Scaleway as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Scaleway MCP Server for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="scaleway_agent",
tools=tools,
system_message=(
"You help users with Scaleway. "
"3 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Scaleway tools. Connect 3 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Scaleway into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Scaleway MCP Server
AutoGen provides unique advantages when paired with Scaleway through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Scaleway tools to solve complex tasks
Role-based architecture lets you assign Scaleway tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Scaleway tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Scaleway tool responses in an isolated environment
Scaleway + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Scaleway MCP Server delivers measurable value.
Collaborative analysis: one agent queries Scaleway while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Scaleway, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Scaleway data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Scaleway responses in a sandboxed execution environment
Example Prompts for Scaleway in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Scaleway to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Scaleway + AutoGen FAQ
Common questions about integrating Scaleway MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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