cloudprice-mcp

<!-- mcp-name: io.github.alialbaker/cloudprice-mcp -->

An MCP server that lets Claude (or any MCP-compatible client) compare on-demand compute + storage pricing across AWS, Azure, and GCP in real time.

Ask things like:

"How much does a 4 vCPU / 16 GB Linux VM cost across AWS, Azure, and GCP in us-east?"

"I have a 3-tier deployment: 8 web (4/16), 12 app (8/32), 4 DB (16/64), each with a 200 GB SSD OS disk, plus 5 TB SSD shared and 50 TB HDD bulk. Compare AWS vs Azure vs GCP monthly cost."

"What does an EC2 t3.xlarge cost per month?"

Claude calls the right tool, you get a clean answer with per-row + per-cloud + combined totals. No console-clicking. No tab-switching between three pricing calculators.

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Install

pip install cloudprice-mcp

Or run without installing:

pipx run cloudprice-mcp

Python 3.10+ required.

Wire it into Claude Desktop

Edit your Claude Desktop config:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add:

{
  "mcpServers": {
    "cloudprice": {
      "command": "cloudprice-mcp"
    }
  }
}

Restart Claude Desktop. The seven tools below will show up as available.

Tools exposed

Single-spec lookups (v0.1)

Tool	What it does
get_aws_price	Look up an EC2 instance type → vCPUs, memory, hourly + monthly USD (us-east-1)
get_azure_price	Look up an Azure VM size → vCPUs, memory, hourly + monthly USD (eastus)
get_gcp_price	Look up a GCP Compute Engine machine type → vCPUs, memory, hourly + monthly USD (us-east1)
compare_clouds	Given a target spec (vCPUs + GB), return the cheapest matching SKU on each cloud, sorted by monthly cost, with savings summary

Bulk + workload compare (v0.2)

Tool	What it does
compare_compute_inventory	Bulk-compare a list of compute workloads (each with vCPUs / memory / quantity / hours / optional OS disk). Returns per-row matches, per-cloud totals, and the cheapest cloud overall.
compare_storage_inventory	Bulk-compare a list of storage volumes (each with capacity / disk type / quantity). Returns per-row matches, per-cloud totals, and cheapest cloud.
compare_workload	Combined compute + storage in one call. Mirrors a two-sheet sizing workbook (compute BoM + storage BoM). Returns nested per-section breakdowns plus combined per-cloud totals.

Example: compare_workload input shape

{
  "compute": [
    { "name": "web", "tier": "Web", "vcpus": 4, "memory_gb": 16, "quantity": 8,  "os_disk_gb": 100, "os_disk_type": "ssd" },
    { "name": "app", "tier": "App", "vcpus": 8, "memory_gb": 32, "quantity": 12, "os_disk_gb": 200, "os_disk_type": "ssd" },
    { "name": "db",  "tier": "DB",  "vcpus": 16, "memory_gb": 64, "quantity": 4, "os_disk_gb": 500, "os_disk_type": "ssd" }
  ],
  "storage": [
    { "name": "shared-fast", "tier": "DB",  "capacity_gb": 5000,  "disk_type": "ssd" },
    { "name": "shared-bulk", "tier": "App", "capacity_gb": 50000, "disk_type": "hdd" }
  ]
}

Snapshots (v0.2.1)

snapshot_count on storage rows and os_disk_snapshot_count on compute rows are now priced. Snapshot rates per cloud per disk type are bundled (~$0.05/GB-mo for AWS/Azure, ~$0.026/GB-mo for GCP).

Caveat — upper-bound estimate: snapshots are priced as snapshot_per_gb_month × full_capacity × quantity × snapshot_count. Real-world snapshots are incremental (only changed blocks), so actual cost is typically 20-50% of this model's number. If snapshots dominate your total, ask the cloud's calculator for a tighter estimate.

iops and throughput_mbs on storage rows are still accepted as metadata only — not used for SKU matching in this release.

Reserved Instance / Savings Plan estimator (v0.2.1)

compare_workload accepts an optional commitment parameter:

Value	Compute discount	Use case
none (default)	0%	On-demand only
1yr_no_upfront	30%	1-year AWS Savings Plan / Azure RI / GCP CUD (no upfront)
3yr_partial_upfront	50%	3-year, partial upfront — typical "we know our baseline" deals

Storage and snapshots are not discounted (most clouds don't offer meaningful storage commitments). Discount tiers are conservative averages — your actual rate depends on instance family, payment option, and region.

Pricing data

Prices are bundled as a curated dataset of common SKUs per cloud — VMs (≈45 SKUs across 3 clouds) and block storage (SSD + HDD per cloud) — sourced from the public AWS / Azure / GCP price lists. Each response includes an as_of date so you know how fresh the data is.

A future release will add a live mode that fetches prices directly from each cloud's public pricing API:

• AWS: Price List Bulk API
• Azure: Retail Prices API
• GCP: Cloud Billing Catalog API

Track issue #1 for live mode and issue #2 for cross-cloud service mapping (RDS↔SQL DB↔Cloud SQL, etc.).

Develop locally

git clone https://github.com/alialbaker/cloudprice-mcp.git
cd cloudprice-mcp
pip install -e ".[dev]"
pytest

To point Claude Desktop at your dev copy, swap the command in the config:

{
  "mcpServers": {
    "cloudprice": {
      "command": "python",
      "args": ["-m", "cloudprice_mcp.server"]
    }
  }
}

License

MIT — see LICENSE.

Credits

Built by Ali Albaker, Cloud Architect — runs a live three-cloud portfolio at ~$1.80/month across AWS, Azure, and GCP.