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Compare on-demand compute + storage pricing across AWS, Azure, and GCP. Bulk workload compare.
Compare on-demand compute + storage pricing across AWS, Azure, and GCP. Bulk workload compare.
cloudprice-mcp is a well-structured pricing comparison MCP server with clean code, proper error handling, and appropriate permissions for its purpose. The server reads bundled pricing data and makes no external network calls, eliminating data exfiltration risks. No authentication is required, which is acceptable for a read-only pricing lookup tool. Minor code quality observations exist but do not impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-alialbaker-cloudprice-mcp": {
"args": [
"cloudprice-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
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.xlargecost 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.
pip install cloudprice-mcp
Or run without installing:
pipx run cloudprice-mcp
Python 3.10+ required.
Edit your Claude Desktop config:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAdd:
{
"mcpServers": {
"cloudprice": {
"command": "cloudprice-mcp"
}
}
}
Restart Claude Desktop. The seven tools below will show up as available.
| 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 |
| 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. |
{
"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" }
]
}
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.
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.
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:
Track issue #1 for live mode and issue #2 for cross-cloud service mapping (RDS↔SQL DB↔Cloud SQL, etc.).
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"]
}
}
}
MIT — see LICENSE.
Built by Ali Albaker, Cloud Architect — runs a live three-cloud portfolio at ~$1.80/month across AWS, Azure, and GCP.
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