Scaleway MCP Server

Scaleway MCP Server

A comprehensive MCP server for managing Scaleway cloud infrastructure, enabling control of instances, databases, storage, networking, and more through natural language.

Category
Visit Server

README

Scaleway MCP Server

A comprehensive Model Context Protocol (MCP) server for managing Scaleway cloud infrastructure. This server provides both local STDIO and HTTP-based interfaces for seamless integration with MCP clients.

šŸš€ Features

  • Complete Scaleway API Coverage: Manage instances, databases, storage, networking, and more
  • Dual Deployment Options: Local STDIO server and HTTP server for remote access
  • Serverless Ready: Deploy to Scaleway Serverless Containers with one command
  • MCP Protocol Compliant: Full support for MCP 2024-11-05 specification
  • Production Ready: Docker containerization, health checks, and monitoring

šŸ› ļø Available Tools

Instance Management

  • list_instances - List all compute instances
  • get_instance - Get detailed instance information
  • start_instance - Start stopped instances
  • stop_instance - Stop running instances

Kubernetes

  • list_k8s_clusters - List all Kubernetes clusters

Database Management

  • list_databases - List PostgreSQL, MySQL databases
  • get_database - Get detailed database information

Object Storage

  • list_buckets - List all S3-compatible storage buckets

Container Registry

  • list_registries - List container registries and images

Load Balancers

  • list_load_balancers - List all load balancers

Serverless

  • list_functions - List all serverless functions
  • list_containers - List all serverless containers

Redis & Networking

  • list_redis_clusters - List Redis clusters
  • list_private_networks - List VPCs and private networks

Marketplace

  • list_marketplace_images - Browse available OS/app images

šŸ“¦ Quick Start

1. Local Development

# Clone the repository
git clone <repository-url>
cd scaleway-mcp-server

# Install dependencies
uv sync

# Set up environment variables
cp .env.example .env
# Edit .env with your Scaleway credentials

# Run the STDIO server
uv run scaleway_server.py

# Or run the HTTP server
uv run scaleway_http_server.py

2. Serverless Deployment

# Configure Scaleway CLI
scw init

# Deploy to Scaleway Serverless Containers
./deploy.sh

šŸ”§ Configuration

Environment Variables

Variable Description Example
SCW_ACCESS_KEY Scaleway access key your_access_key_here
SCW_SECRET_KEY Scaleway secret key your_secret_key_here
SCW_PROJECT_ID Scaleway project ID your_project_id_here
SCW_ORGANIZATION_ID Scaleway organization ID your_organization_id_here
SCW_DEFAULT_REGION Default region fr-par
SCW_DEFAULT_ZONE Default zone fr-par-1

MCP Client Configuration

For HTTP transport:

{
  "mcpServers": {
    "scaleway": {
      "transport": "http",
      "url": "https://your-deployment-url/mcp"
    }
  }
}

For STDIO transport:

{
  "mcpServers": {
    "scaleway": {
      "command": "uv",
      "args": ["run", "scaleway_server.py"],
      "cwd": "/path/to/scaleway-mcp-server"
    }
  }
}

🐳 Docker Deployment

# Build the image
docker build -t scaleway-mcp-server .

# Run locally
docker run -p 8080:8080 \
  -e SCW_ACCESS_KEY=your_access_key_here \
  -e SCW_SECRET_KEY=your_secret_key_here \
  -e SCW_PROJECT_ID=your_project_id_here \
  -e SCW_ORGANIZATION_ID=your_organization_id_here \
  scaleway-mcp-server

šŸ“š Documentation

šŸ” Security

  • Never commit real credentials to version control
  • Use environment variables or secure secret management
  • The server validates API credentials on startup
  • All API calls use official Scaleway SDK with proper authentication

šŸ¤ Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Test thoroughly
  5. Submit a pull request

šŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

šŸ†˜ Support

šŸ—ļø Architecture

ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”    ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”    ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”
│   MCP Client    │    │  Scaleway MCP    │    │  Scaleway API   │
│   (Manus, etc)  │◄──►│     Server       │◄──►│   (Official)    │
ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜    ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜    ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜
                              │
                              ā–¼
                       ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”
                       │  Scaleway Cloud  │
                       │   Infrastructure │
                       ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜

The server acts as a bridge between MCP clients and the Scaleway cloud platform, providing a standardized interface for infrastructure management.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured