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cloud-regions

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

Cloud & Infrastructure stdio npm npmstdiojasonwilbur
RUN IN TERMINAL
claude mcp add jasonwilbur-cloud-regions -- npx -y mcp-server-cloud-regions
ADD TO claude_desktop_config.json
{ "mcpServers": { "jasonwilbur-cloud-regions": { "command": "npx", "args": ["-y", "mcp-server-cloud-regions"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "jasonwilbur-cloud-regions": { "command": "npx", "args": ["-y", "mcp-server-cloud-regions"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "jasonwilbur-cloud-regions": { "command": "npx", "args": ["-y", "mcp-server-cloud-regions"] } } }

About This MCP Server

The io.github.jasonwilbur/cloud-regions server is a Model Context Protocol server that provides cloud region data for various cloud providers, including AWS, Azure, GCP, and OCI. This server enables querying cloud regions by location, compliance, and GPU availability, making it useful for developers who need to determine the best cloud region for their application based on specific requirements. Developers would reach for this server when they need to make informed decisions about cloud resource allocation and deployment.

Cloud region data for AWS, Azure, GCP, OCI & more. Query by location, compliance, GPU.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.

Package

mcp-server-cloud-regions on npm

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.

What tools does it provide?

The cloud-regions server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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