INDIVIDUAL MCP TOOL

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.

cloudprice.netnone authenticationAvailability not checked

LIVE ENDPOINT

https://cloudprice.net/api/mcp/data-free

No auth detected

Connect to this endpoint to inspect the live schema for search_cloud_instances and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description suggests a financial action.

Parent server

cloudprice.net

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.
find_similar_cloud_instances — Alternatives to an instance type with comparable vCPU, memory and GPU, with their prices in the same region: cheaper or newer generations in the same cloud, or (signed-in subscriber) the closest match on another cloud.