mcp-server-cloud-regions
Provides cloud region data for Linode (Akamai) cloud, including location, compliance, and GPU availability information.
Provides comprehensive cloud region data for AWS, enabling queries about region locations, compliance certifications, GPU availability, and sustainability metrics.
Provides cloud region data for DigitalOcean, including location, compliance, and availability zone information.
Provides comprehensive cloud region data for GCP, enabling queries about region locations, compliance certifications, GPU availability, and sustainability metrics.
Provides cloud region data for Hetzner, including location, compliance, and sustainability information.
Provides cloud region data for OVHcloud, including location, compliance, and sustainability information.
Provides cloud region data for Paperspace, including GPU availability and location information.
Provides cloud region data for Scaleway, including location, compliance, and sustainability information.
Provides cloud region data for Vultr, including location, compliance, and GPU availability information.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-server-cloud-regionsWhich AWS regions have H100 GPUs?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-server-cloud-regions
A Model Context Protocol (MCP) server providing comprehensive cloud region data across all major providers. Query, filter, and compare cloud infrastructure locations worldwide.
269 regions across 14 cloud providers — query by location, compliance, sustainability, and GPU availability.
Quick Start
With Claude Desktop
Add to your config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"cloud-regions": {
"command": "npx",
"args": ["-y", "mcp-server-cloud-regions"]
}
}
}With Claude Code (CLI)
claude mcp add cloud-regions -- npx -y mcp-server-cloud-regionsThen ask Claude questions like:
"Which AWS regions have H100 GPUs?"
"Find HIPAA-compliant regions in Europe"
"What's the nearest cloud region to Tokyo with GPU support?"
"Compare cloud provider coverage in Germany"
Related MCP server: geomelon-mcp
Why This Exists
Planning multi-cloud deployments requires answering questions across providers:
"Which providers have regions in Germany with GDPR compliance?"
"What's the nearest GPU-enabled region to my users in São Paulo?"
"Which cloud has the most coverage in Asia Pacific?"
"Where can I deploy with carbon-neutral infrastructure?"
"Which regions support FedRAMP for government workloads?"
This MCP server provides a unified data model to answer these questions instantly.
Supported Providers
Tier | Providers |
Hyperscalers | AWS, Azure, GCP, Oracle Cloud (OCI) |
Major | DigitalOcean, Linode (Akamai), Vultr |
Specialized | Crusoe (clean energy), CoreWeave (GPU), Lambda Labs (AI/ML), Paperspace (GPU/ML) |
Regional | OVHcloud, Hetzner, Scaleway |
Available Tools
Discovery
Tool | Description |
| List all regions with filtering (provider, country, compliance, GPU, sustainability, region type) |
| Get detailed info for a specific region by ID (e.g., |
| List all cloud providers with metadata and tier classification |
| Get all regions for a specific provider |
| Full-text search across region names, cities, countries, and provider names |
Geospatial
Tool | Description |
| Find regions nearest to coordinates (for latency optimization) |
| All countries with cloud presence and region counts |
| All cities with data centers and which providers operate there |
Specialized Queries
Tool | Description |
| Filter by certifications (HIPAA, GDPR, FedRAMP, SOC2, PCI-DSS, etc.) |
| Find carbon-neutral data centers |
| Find regions with GPU availability (A100, H100, TPU, etc.) |
| Compare provider presence in a country or continent |
Analytics & Metadata
Tool | Description |
| Summary stats: totals by provider, country, continent, capabilities |
| Data freshness: last updated date, version, source URLs for each provider |
Region Types
The server tracks different types of cloud regions:
Type | Description | Examples |
| Standard public cloud regions | aws-us-east-1, azure-eastus |
| Government-restricted regions (GovCloud, IL4+) | aws-us-gov-west-1, azure-usgovvirginia |
| Data sovereignty regions with separate control planes | azure-germanynorth, oci-eu-frankfurt-2 |
| China regions (separate operators/partitions) | azure-chinaeast, aws-cn-north-1 |
Filter by region type using list_regions with the regionTypes parameter.
Example Queries
Find HIPAA-compliant regions in the US:
{
"tool": "find_compliant_regions",
"certifications": ["HIPAA"],
"countryCodes": ["US"]
}Find the 5 nearest GPU regions to London:
{
"tool": "find_nearby_regions",
"latitude": 51.5074,
"longitude": -0.1278,
"limit": 5,
"hasGpu": true
}List regions with 3+ availability zones:
{
"tool": "list_regions",
"minAvailabilityZones": 3
}Compare European coverage across hyperscalers:
{
"tool": "compare_provider_coverage",
"continent": "europe"
}Find government regions:
{
"tool": "list_regions",
"regionTypes": ["government", "sovereign"]
}Check when data was last updated:
{
"tool": "get_data_info"
}Data Model
Each region includes:
{
id: "aws-us-east-1",
provider: "aws",
regionCode: "us-east-1",
displayName: "US East (N. Virginia)",
regionType: "commercial",
location: {
country: "United States",
countryCode: "US",
city: "Ashburn",
latitude: 39.0438,
longitude: -77.4874,
continent: "north-america"
},
availabilityZones: 6,
launchedDate: "2006-08-25",
status: "ga",
compliance: ["SOC1", "SOC2", "HIPAA", "FedRAMP-Moderate", "PCI-DSS"],
sustainability: {
renewableEnergyPercent: 100,
carbonNeutral: true
},
services: {
compute: true,
kubernetes: true,
gpu: true,
gpuTypes: ["NVIDIA A10G", "NVIDIA A100", "NVIDIA H100"]
},
sovereignty: {
dataResidency: "US",
dataResidencyGuarantee: true
}
}Data Updates
The server automatically fetches the latest region data from GitHub on startup, with fallback to bundled data if offline. Data is verified against official provider documentation:
A weekly GitHub Action checks the provider pages for changes and opens an issue when an update may be needed; the region data is then refreshed and released by a maintainer (the dataset itself is curated, not auto-generated from the provider pages).
Use Cases
Multi-cloud strategy — Identify providers with presence in your target markets
Compliance planning — Find regions meeting regulatory requirements (HIPAA, GDPR, FedRAMP)
Latency optimization — Locate the nearest regions to your users
Sustainability goals — Deploy on carbon-neutral infrastructure
GPU/AI workloads — Find regions with specific accelerator availability
Disaster recovery — Plan geographically distributed deployments
Government workloads — Find GovCloud and sovereign regions
Installation
npm install mcp-server-cloud-regionsOr run directly with npx:
npx -y mcp-server-cloud-regionsContributing
Contributions welcome! To add or update provider data:
Edit provider metadata:
src/data/providers.tsEdit region data:
src/data/regions-*.tsUpdate metadata date:
src/data/metadata.tsRun
npm run build && npm run export-dataSubmit a pull request
Scripts
Command | Description |
| Compile TypeScript |
| Export regions to |
| Check if provider pages have changed |
Disclaimer
This data is provided for informational purposes only. Cloud providers frequently add, modify, or deprecate regions and services. Users are responsible for verifying region availability, compliance certifications, and service offerings directly with each cloud provider before making deployment decisions.
While we strive to keep this data accurate and up-to-date, we make no guarantees about completeness or correctness. Always consult official provider documentation for production planning.
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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