INDIVIDUAL MCP TOOL
get_cloud_region
One Azure, AWS or GCP region: location, average on-demand price and its rank among the cloud's regions, how many instance types it offers, nearby regions on every cloud with distance, AWS availability zones and service health, and whether a given instance type is offered there.
LIVE ENDPOINT
https://cloudprice.net/api/mcp/data-free
Connect to this endpoint to inspect the live schema for get_cloud_region and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.cloudprice]
url = "https://cloudprice.net/api/mcp/data-free"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"cloudprice": {
"type": "http",
"url": "https://cloudprice.net/api/mcp/data-free"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: cloudprice
Remote MCP URL: https://cloudprice.net/api/mcp/data-free
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"cloudprice": {
"url": "https://cloudprice.net/api/mcp/data-free"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"cloudprice": {
"type": "http",
"url": "https://cloudprice.net/api/mcp/data-free"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "cloudprice",
"transport": "streamable-http",
"url": "https://cloudprice.net/api/mcp/data-free"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
search_ai_models— Search and filter the AI model catalog (1000+ LLMs, embedding, image, audio and video models).get_ai_model— One AI model by any id or name: specs, capabilities, context window, ids on every provider.calculate_ai_cost— Estimate what a workload costs on one or many models from token counts (input, output, reasoning, cache read/write), images and audio, multiplied by calls.compare_ai_models— Side-by-side prices for 2 to 5 models on one tier: per model, the price of each dimension on every provider that hosts it.find_similar_ai_models— Models similar to a given one (same type, comparable context window and price/performance), ranked by the chosen strategy.find_gpu_fit— Self-hosting fit, in either direction.get_cloud_instance— Specs and prices for one Azure VM size, AWS EC2 instance type or GCP Compute machine type: vCPU, memory, GPU, network, plus per-region prices for the chosen OS and payment type.search_cloud_instances— Instance types available in one Azure, AWS or GCP region with vCPU, memory, GPU and the hourly price for the chosen OS and payment type; filter by size, GPU or name and sort by price.