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Cloudprice MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 7:01:08 AM

Cloudprice MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Compare on-demand compute, block/object storage, managed Postgres, egress & GPU pricing across AWS, Azure, GCP, and OCI, plus FinOps decision tools (RI/Savings Plan break-even, multi-cloud workload TCO, exit-cost migration analysis, and egress arbitrage). 25 tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "albaker-group-cloudprice-mcp": {
      "command": "uvx",
      "args": [
        "cloudprice-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (13) Directory Badge Claim listing Alternatives☁️ More in Cloud Platforms

Capabilities & Tool Schemas (13) ~661 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Cloudprice MCP.

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 across **AWS / Azure / GCP / OCI**, sorted by monthly cost, with savings summary

compare_compute_inventory

Bulk-compare a list of compute workloads (each with vCPUs / memory / quantity / hours / optional OS disk) across all 4 clouds. Returns per-row matches, per-cloud totals, cheapest cloud.

compare_storage_inventory

Bulk-compare a list of block-storage volumes (each with capacity / disk type / quantity) across all 4 clouds.

Documentation Overview

cloudprice-mcp

PyPI version Python versions License: MIT alialbaker/cloudprice-mcp MCP server

The FinOps MCP server. Gives Claude, GitHub Copilot, Cursor, Windsurf, Cline, Continue, Zed — or any MCP-compatible AI — structured pricing data and analysis primitives across AWS, Azure, GCP, and OCI. AI clients use cloudprice-mcp to compute Reserved Instance break-even, multi-cloud workload TCO, exit-cost migration analyses, snapshot cost modeling, and egress arbitrage — the kind of FinOps decisions that normally live in three browser tabs and a half-built spreadsheet.

25 tools covering compute, block storage, object storage, managed Postgres, egress (internet + inter-region with OCI's 10 TB free tier surfaced explicitly), Multi-AZ workloads, snapshots with realistic incremental modeling, Reserved Instance / Savings Plan discounts, FinOps decision suite (migration, commitment, TCO, egress arbitrage), multi-cloud spot pricing with eviction tradeoffs, multi-cloud price history (the only public weekly-refreshed dataset of its kind), a stateless cost drift sentinel for scheduled agents, multi-cloud carbon footprint ($ AND kg CO2e on the same query), multi-cloud GPU pricing (T4 / A10 / L4 / L40S / V100 / A100 / H100 across all 4 clouds), cross-provider LLM token pricing (Claude / GPT / Gemini / Llama / Mistral / DeepSeek across Anthropic / OpenAI / Bedrock / Vertex / Azure OpenAI), statistical price-anomaly detection over the weekly snapshot archive (z-score + percent-change, auto-selected by dataset density), and CFO-grade FinOps decision report generation (markdown reports with executive summary, cost table, carbon, audit trail, honest gaps). OCI Always Free tier (4 OCPU compute, 20 GB object storage, 10 TB egress) surfaced as $0 line items where it applies.

One-line install configures every AI client you have: pip install cloudprice-mcp && cloudprice-mcp setup — auto-detects Claude Desktop, GitHub Copilot Agent Mode, Cursor, Windsurf, Cline, Continue.dev, and Zed, then asks Y/N before writing each config.

demo

What does FinOps look like with cloudprice-mcp?

Real questions teams actually ask. Paste any of these into Claude / Copilot / Cursor with cloudprice-mcp loaded:

"I have 6× t3.2xlarge running on AWS. Compare the 3-year total cost on-demand vs 1-year Savings Plan vs 3-year RI partial upfront. What's the break-even month?" → AI calls compare_workload, pulls list-price baseline, layers AWS's published RI rates, returns dollar break-even. ~7-month payback typical.

"I'm thinking about offloading 5 TB of cold-tier object storage from AWS S3 to a cheaper provider. Compare archive-tier cost across all 4 clouds, factor in AWS exit egress, and tell me the payback period." → AI calls compare_object_storage + compare_egress, computes one-time exit cost vs ongoing savings. Often surfaces "don't move — AWS Glacier Deep Archive is already tied for cheapest".

"At 50 TB/month internet egress, where am I cheapest? Show the 3-year savings of moving." → compare_egress → OCI ~$340/mo, AWS/Azure/GCP ~$4,000/mo. The 12× difference is OCI's 10 TB free tier — a real moat for content/CDN workloads.

"Size a 3-tier SaaS workload: 8 web (4/16), 12 app (8/32), 4 DB (16/64), 5 TB shared SSD, 50 TB HDD bulk, 10 TB/month egress. Compare full-stack monthly cost across all 4 clouds with multi-AZ and 1-year commitment." → AI chains compare_workload + compare_egress, applies multi-AZ multiplier (×2 compute) + commitment discount.

What you get back: dollar numbers traceable to a public catalog, AI-explained tradeoffs, payback periods, and the kind of "don't do that" recommendation that kills bad migrations before they happen. No console-clicking. No tab-switching between three pricing calculators. No FinOps spreadsheet that goes stale the moment a new SKU drops.


Install

Recommended (auto-config):

Terminal
pip install cloudprice-mcp
cloudprice-mcp setup     # auto-configures every detected MCP client, asks Y/N before writing

Then fully restart whichever clients were configured. 10 tools appear in each. Done.

Trust spectrum:

CommandWhen to use
cloudprice-mcp setupDefault — detects every installed client, shows the plan, asks Y/N once
cloudprice-mcp setup --yesSkip prompt (CI / scripts)
cloudprice-mcp setup --client copilotConfigure a specific client (repeatable: --client copilot --client cursor)
cloudprice-mcp setup --allConfigure every known client even if not detected
cloudprice-mcp setup --forceRefresh existing entries — useful after upgrade or moving Python
cloudprice-mcp setup --dry-runShow per-client diffs without writing
cloudprice-mcp setup --print-configEmit per-client JSON to stdout for manual paste
cloudprice-mcp setup --list-clientsDetection table — which clients are known + installed on this system
Manual editDon't trust running new tools — see INSTALL.md per-client sections

If something doesn't work, run:

bash
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)

ToolWhat it does
get_aws_priceLook up an EC2 instance type → vCPUs, memory, hourly + monthly USD (us-east-1)
get_azure_priceLook up an Azure VM size → vCPUs, memory, hourly + monthly USD (eastus)
get_gcp_priceLook up a GCP Compute Engine machine type → vCPUs, memory, hourly + monthly USD (us-east1)
compare_cloudsGiven a target spec (vCPUs + GB), return the cheapest matching SKU across AWS / Azure / GCP / OCI, sorted by monthly cost, with savings summary

Bulk + workload compare (v0.2)

ToolWhat it does
compare_compute_inventoryBulk-compare a list of compute workloads (each with vCPUs / memory / quantity / hours / optional OS disk) across all 4 clouds. Returns per-row matches, per-cloud totals, cheapest cloud.
compare_storage_inventoryBulk-compare a list of block-storage volumes (each with capacity / disk type / quantity) across all 4 clouds.
compare_workloadCombined compute + block storage in one call. Mirrors a two-sheet sizing workbook (compute BoM + storage BoM). Optional commitment overlay applies 1-year (30%) or 3-year (50%) compute discount.

Object storage + managed Postgres (v0.3)

ToolWhat it does
compare_object_storageBulk-compare object-storage buckets across AWS S3 / Azure Blob / GCP Cloud Storage / OCI Object Storage. Each row specifies capacity_gb + tier (hot / cool / archive). OCI Always Free 20 GB tier surfaced explicitly — capacity ≤ 20 GB on OCI hot tier returns $0/mo.
compare_postgres_databaseBulk-compare managed PostgreSQL pricing across AWS RDS / Azure Database for PostgreSQL / GCP Cloud SQL / OCI Database with PostgreSQL. Each row specifies vCPUs / memory / storage_gb. Storage cost is calculated separately from compute.

FinOps decision suite (v0.6, NEW)

Four named tools that turn cross-cloud pricing into FinOps decisions in one call instead of letting the AI chain three+ tools. All four consume a structured workload inventory (compute / storage / object_storage / databases / egress) plus tool-specific options.

ToolWhat it does
assess_migration"Should I move?" — projects per-target cloud cost, savings %, one-time exit egress cost, payback months. Returns a ranked recommendation by 3-year TCO with triggered caveats (e.g., "OCI A1.Flex is ARM — verify your AMIs").
optimize_commitment"When does my RI / SP / CUD pay back?" — six commitment scenarios (none / 1yr_no_upfront / 1yr_all_upfront / 3yr_no_upfront / 3yr_partial_upfront / 3yr_all_upfront) with per-scenario monthly cost, upfront, 3-year total, savings %, payback months. Recommends the lowest 3-year TCO option.
compare_total_cost_of_ownership"What's my 3-year cost across clouds?" — multi-year projection with linear YoY growth assumptions for compute / storage / egress. Returns cumulative TCO per cloud, year-by-year breakdown, sensitivity analysis on the dominant variable. The kind of number that goes into board decks.
find_egress_arbitrage"Where do I save on data transfer?" — specialized assess_migration scoped to egress only. Surfaces the OCI 12× moat: at 50 TB/month internet egress, OCI is ~$340 vs $4,000+ on the hyperscalers.

All four tools accept a WorkloadInventory shape that mirrors a 4-section sizing sheet (compute / storage / object_storage / databases / egress) plus optional commitment, multi_az, and one_time.data_to_migrate_gb fields. Output includes honest_gaps — explicit list of what each tool does NOT model — to prevent over-trust.

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

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1d ago
Most recent push to the default branch.
Tools exposed
13
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Cloudprice MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "cloudprice-mcp": { "command": "uvx", "args": ["cloudprice-mcp"] } }

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Technical Specs & Signals

Category☁️Cloud Platforms
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
Last updatedSep 20, 2026
12/12 checks healthy over the last 42d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 20, 2026
55Quality signal: Good · 55/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 2d ago via OSV.dev · cloudprice-mcp (PyPI)

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