4,000+ servers built on vurb.ts
Vinkius
LlamaIndexFramework
LlamaIndex
Scaleway MCP Server

Bring Cloud Computing
to LlamaIndex

Learn how to connect Scaleway to LlamaIndex and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create InstanceList InstancesPerform Instance Action

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Scaleway

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Enter your Scaleway Secret Key
  3. Start managing your cloud resources from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • DevOps Engineers — quickly check server status or reboot instances without leaving the terminal or IDE
  • Developers — spin up new development environments using simple text commands
  • Cloud Architects — audit active resources across multiple zones efficiently

Built-in capabilities (3)

create_instance

Create a new Scaleway instance (server)

list_instances

List Scaleway instances (servers) in a specific zone

perform_instance_action

Perform an action on a Scaleway instance (e.g., poweron, poweroff)

Why LlamaIndex?

LlamaIndex agents combine Scaleway tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Scaleway tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Scaleway tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Scaleway, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Scaleway tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Scaleway in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Scaleway and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Scaleway to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Scaleway in LlamaIndex

The Scaleway 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. All 3 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Scaleway
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Scaleway for LlamaIndex

Every tool call from LlamaIndex to the Scaleway MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I see my servers in a specific region like Paris?

Use the list_instances tool and provide the zone parameter (e.g., 'fr-par-1'). The agent will return a list of all instances currently provisioned in that specific Scaleway zone.

02

Can I reboot or shut down a server using this integration?

Yes! The perform_instance_action tool allows you to send 'poweron', 'poweroff', 'reboot', or 'terminate' commands to any specific server ID within a zone.

03

What information is needed to create a new instance?

To use create_instance, you need to provide the zone, a name for the server, the commercial type (e.g., 'DEV1-S'), and the image ID or label you wish to deploy.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Scaleway tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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