cloudprice-mcp

An MCP server that lets Claude (or any MCP-compatible client) compare cloud pricing across AWS, Azure, GCP, and OCI in real time. 10 tools covering compute, block storage, object storage, managed Postgres, egress (internet + inter-region), Multi-AZ workloads, snapshots with realistic incremental modeling, and Reserved Instance / Savings Plan discounts. OCI Always Free tier (4 OCPU compute, 20 GB object storage, 10 TB egress) surfaced explicitly.

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.

Install

Recommended (auto-config):

pip install cloudprice-mcp
cloudprice-mcp setup     # auto-configures Claude Desktop, asks Y/N before writing

Then fully restart Claude Desktop. 9 tools appear in Connectors. Done.

Trust spectrum:

If something doesn't work, run:

cloudprice-mcp doctor

It tells you exactly what's broken (Python version, install path, config location, tool registration, command path validity).

Python 3.10+ required.

For step-by-step manual install (Windows / macOS / Linux), see INSTALL.md.

Tools exposed

Single-spec lookups (v0.1)

Bulk + workload compare (v0.2)

Object storage + managed Postgres (v0.3)

Egress + Multi-AZ + better snapshots (v0.5, NEW)

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:

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 across 4 clouds:

• Compute (~50 VM SKUs across AWS / Azure / GCP / OCI, including OCI A1 Always Free + A2 Arm Ampere + E5 Flex)
• Block storage (SSD + HDD per cloud)
• Object storage (Hot / Cool / Archive tiers per cloud, including OCI Always Free 20 GB)
• Managed PostgreSQL (RDS / Azure DB / Cloud SQL / OCI Database with PostgreSQL)

OCI pricing is verified against Oracle's public pricing API. Each response includes an as_of date so you know how fresh the data is.

What's NOT modeled (real-world TCO killers)

• ✅ Egress / data transfer — modeled in v0.5 (compare_egress)
• ✅ Multi-AZ / HA replicas — modeled in v0.5 (multi_az: true on compare_workload)
• ✅ Snapshots upper-bound only — fixed in v0.5 (snapshot_incremental_factor)
• Reserved/Savings Plan SKU detail (we apply a flat tier discount, not per-region/per-family detail) — roadmap
• Multi-region pricing (currently us-east only; us-west / eu-west planned for v0.5.1) — roadmap
• IOPS-based storage matching (capacity-only) — roadmap
• Backup storage charges (some clouds free, others billed) — roadmap
• Request costs (PUT/GET pricing for object storage) — roadmap
• Retrieval costs for archive tiers (Glacier-style retrieval can be 10× the storage cost) — roadmap
• VPC peering / interconnect costs — roadmap

These are tracked roadmap items. Use cloudprice-mcp for the on-demand list-price baseline; do final TCO analysis with each cloud's own calculator before relying on numbers for big decisions.

Live API mode is on the roadmap (issue #1) — would fetch 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, multi-cloud architect — runs a live three-cloud portfolio at ~$1.80/month across AWS, Azure, and GCP, with OCI joining as the 4th cloud in 2026.