Cloud Regions

io.github.jasonwilbur由 GitHub 帳號 jasonwilbur 發布v1.0.4更新於 Oct 24, 2026

Cloud region data for AWS, Azure, GCP, OCI & more. Query by location, compliance, GPU.

概覽

AI 產生的概覽

本機 MCP 伺服器,為助理提供涵蓋 14 家雲端廠商、269 個雲端區域的查詢資料集,可依位置、合規、永續性與 GPU 篩選。

可以做什麼
  • 列出、檢視與全文搜尋區域和雲端廠商,可依廠商、國家、合規、GPU、永續性與區域類型過濾
  • 找出距離指定座標最近的區域,並列出有雲端節點的國家與城市
  • 依 HIPAA、GDPR、FedRAMP 等認證、碳中和狀態或 GPU 型號篩選區域
  • 比較某國家或洲別中各廠商的覆蓋情形,並取得彙總統計
  • 查詢資料的新鮮度、版本與各廠商來源資訊
適用情境
適合規劃多雲部署、為延遲、合規、永續性或 GPU 工作負載挑選區域,以及比較各國廠商覆蓋情形時使用。它只是唯讀的參考查詢工具,不負責實際部署。
執行需求
以 stdio 在本機執行,通常透過 npx 使用 npm 套件 mcp-server-cloud-regions,因此需要 Node.js 與網路存取。未宣告需要帳號、API 金鑰或環境變數。伺服器啟動時會從 GitHub 取得最新區域資料,離線時改用內建資料。
安裝前請注意
資料僅供參考:README 提醒雲端廠商會頻繁新增、修改或下線區域與服務,使用者須在做出部署決策前向各廠商確認區域可用性、合規認證與服務內容。伺服器啟動時會連線 GitHub 更新資料集。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Cloud Regions,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

mcp-server-cloud-regions

[npm version] [npm downloads] [CI] [License: MIT] [MCP Registry]

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

json
{  "mcpServers": {    "cloud-regions": {      "command": "npx",      "args": ["-y", "mcp-server-cloud-regions"]    }  }}

With Claude Code (CLI)

bash
claude mcp add cloud-regions -- npx -y mcp-server-cloud-regions

Then 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"

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

TierProviders
HyperscalersAWS, Azure, GCP, Oracle Cloud (OCI)
MajorDigitalOcean, Linode (Akamai), Vultr
SpecializedCrusoe (clean energy), CoreWeave (GPU), Lambda Labs (AI/ML), Paperspace (GPU/ML)
RegionalOVHcloud, Hetzner, Scaleway

Available Tools

Discovery

ToolDescription
list_regionsList all regions with filtering (provider, country, compliance, GPU, sustainability, region type)
get_regionGet detailed info for a specific region by ID (e.g., aws-us-east-1)
list_providersList all cloud providers with metadata and tier classification
get_provider_regionsGet all regions for a specific provider
search_regionsFull-text search across region names, cities, countries, and provider names

Geospatial

ToolDescription
find_nearby_regionsFind regions nearest to coordinates (for latency optimization)
list_countriesAll countries with cloud presence and region counts
list_citiesAll cities with data centers and which providers operate there

Specialized Queries

ToolDescription
find_compliant_regionsFilter by certifications (HIPAA, GDPR, FedRAMP, SOC2, PCI-DSS, etc.)
find_sustainable_regionsFind carbon-neutral data centers
find_gpu_regionsFind regions with GPU availability (A100, H100, TPU, etc.)
compare_provider_coverageCompare provider presence in a country or continent

Analytics & Metadata

ToolDescription
get_statisticsSummary stats: totals by provider, country, continent, capabilities
get_data_infoData freshness: last updated date, version, source URLs for each provider

Region Types

The server tracks different types of cloud regions:

TypeDescriptionExamples
commercialStandard public cloud regionsaws-us-east-1, azure-eastus
governmentGovernment-restricted regions (GovCloud, IL4+)aws-us-gov-west-1, azure-usgovvirginia
sovereignData sovereignty regions with separate control planesazure-germanynorth, oci-eu-frankfurt-2
chinaChina 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:

json
{  "tool": "find_compliant_regions",  "certifications": ["HIPAA"],  "countryCodes": ["US"]}

Find the 5 nearest GPU regions to London:

json
{  "tool": "find_nearby_regions",  "latitude": 51.5074,  "longitude": -0.1278,  "limit": 5,  "hasGpu": true}

List regions with 3+ availability zones:

json
{  "tool": "list_regions",  "minAvailabilityZones": 3}

Compare European coverage across hyperscalers:

json
{  "tool": "compare_provider_coverage",  "continent": "europe"}

Find government regions:

json
{  "tool": "list_regions",  "regionTypes": ["government", "sovereign"]}

Check when data was last updated:

json
{  "tool": "get_data_info"}

Data Model

Each region includes:

typescript
{  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

bash
npm install mcp-server-cloud-regions

Or run directly with npx:

bash
npx -y mcp-server-cloud-regions

Contributing

Contributions welcome! To add or update provider data:

  1. Edit provider metadata: src/data/providers.ts
  2. Edit region data: src/data/regions-*.ts
  3. Update metadata date: src/data/metadata.ts
  4. Run npm run build && npm run export-data
  5. Submit a pull request

Scripts

CommandDescription
npm run buildCompile TypeScript
npm run export-dataExport regions to data/regions.json
npm run check-updatesCheck 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

來源:README.md,提交 078b3b8

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.0.4最新Sep 16, 2026

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