Cloudprice
Compare AWS, Azure, and GCP on-demand compute and storage from your agent before you lock in hosting costs.
Overview
cloudprice-mcp is a MCP server for the Validate phase that compares on-demand AWS, Azure, and GCP compute and storage pricing, including bulk workload compare, from your agent.
What is this MCP server?
- On-demand compute and storage pricing across AWS, Azure, and GCP in one MCP server
- Bulk workload compare for realistic cost estimates instead of single-instance guesses
- PyPI package cloudprice-mcp (version 0.2.2) with stdio transport
- Agent-friendly alternative to opening three vendor pricing calculators in separate tabs
- Fits pre-build stack selection and later cost replanning on operate/infra
- Compares 3 providers: AWS, Azure, and GCP
- Supports bulk workload compare
- Published package version 0.2.2 on PyPI with stdio transport
Community signal: 1 GitHub stars.
What problem does it solve?
Choosing a cloud vendor blindly often leaves solo founders surprised by compute and storage bills they never modeled across providers.
Who is it for?
Indie builders picking a cloud for an MVP, API, or CLI backend who want agent-assisted cost comparison without spreadsheet gymnastics.
Skip if: Enterprises with negotiated EDPs, heavy reserved-instance portfolios, or teams that only need live billing from an already-deployed account.
What do I get? / Deliverables
After registering cloudprice-mcp, your agent can pull side-by-side hyperscaler pricing so your scope and architecture choices reflect real on-demand costs.
- Side-by-side hyperscaler on-demand price lookups via agent
- Bulk workload comparison outputs for stack decisions
- Documented cost rationale you can paste into validation notes or ADRs
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Journey fit
Cloud bill anxiety hits hardest while you are still proving the idea and choosing infrastructure, which maps to validate and pricing. Bulk workload compare across three hyperscalers is a pricing decision tool, not a deployment or monitoring surface.
How it compares
Cross-cloud list-price comparison MCP server, not an IaC deployer or live cost-anomaly monitor.
Common Questions / FAQ
Who is cloudprice-mcp for?
Solo and small-team builders who want their coding agent to compare AWS, Azure, and GCP on-demand compute and storage while they validate product economics and infra choices.
When should I use cloudprice-mcp?
Use it when you are scoping hosting cost, comparing instance and storage SKUs, or running a bulk workload price check before or after you choose a cloud provider.
How do I add cloudprice-mcp to my agent?
Install the PyPI package cloudprice-mcp, configure stdio MCP in your agent client, and invoke the server tools from Claude Code, Cursor, Codex, or another compatible host.