Cloud Regions

io.github.jasonwilbur由 GitHub 账号 jasonwilbur 发布v1.0.4更新于 Oct 24, 2026

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

概览

AI 生成的概览

本地 MCP 服务器,为助手提供覆盖 14 家云厂商、269 个云区域的查询数据集,可按位置、合规、可持续性和 GPU 筛选。

可以做什么
  • 列出、查看和全文搜索区域与云厂商,可按厂商、国家、合规、GPU、可持续性和区域类型过滤
  • 查找距指定坐标最近的区域,并列出有云节点的国家和城市
  • 按 HIPAA、GDPR、FedRAMP 等认证、碳中和状态或 GPU 型号筛选区域
  • 比较某国家或大洲内各厂商的覆盖情况,并获取汇总统计
  • 查询数据的新鲜度、版本和各厂商来源信息
适用场景
适合规划多云部署、为延迟、合规、可持续性或 GPU 工作负载选择区域,以及比较各国厂商覆盖情况时使用。它只是只读的参考查询工具,不负责实际部署。
运行要求
以 stdio 在本地运行,通常通过 npx 使用 npm 包 mcp-server-cloud-regions,因此需要 Node.js 和网络访问。未声明需要账号、API 密钥或环境变量。服务器启动时会从 GitHub 获取最新区域数据,离线时回退到内置数据。
安装前请注意
数据仅供参考:README 提示云厂商会频繁新增、修改或下线区域与服务,用户须在做出部署决策前向各厂商核实区域可用性、合规认证和服务内容。服务器启动时会连接 GitHub 刷新数据集。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Cloud Regions,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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

来源:README.md,提交 078b3b8

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.4最新Sep 16, 2026

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