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Cloudprice

Compare on-demand compute + storage pricing across AWS, Azure, and GCP.

Connector by alialbaker · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/alialbaker-cloudprice-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Compare on-demand compute + storage pricing across AWS, Azure, and GCP. Bulk workload compare.

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools
22 read · 0 write · 0 delete · 3 not yet classified
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Tools by what they do 25

Read from the source code; the running server may list different tools.

Read 22 · Look things up without changing anything.

  • compare_carbon_footprint
  • compare_clouds
  • compare_compute_inventory
  • compare_egress
  • compare_gpu_workload
  • compare_object_storage
  • compare_postgres_database
  • compare_spot
  • compare_storage_inventory
  • compare_token_pricing
  • compare_total_cost_of_ownership
  • compare_workload
Show 10 more tools
  • detect_price_anomalies
  • find_egress_arbitrage
  • get_aws_price
  • get_azure_price
  • get_gcp_price
  • get_price_history
  • list_tracked_skus
  • lookup_extended_model_pricing
  • optimize_commitment
  • watch_workload

Not yet classified 3 · We could not tell from the name and description.

  • assess_migration
  • export_focus
  • generate_decision_report

Network hosts it talks to 16

  • albaker.info · found in code
  • anthropic.com · found in code
  • apexapps.oracle.com · found in code
  • api-docs.deepseek.com · found in code
  • aws.amazon.com · found in code
  • azure.microsoft.com · found in code
  • cloud.google.com · found in code
  • cloudbilling.googleapis.com · found in code
  • cloudprice-gateway-xprwhtvo85.gateway.bedrock-agentcore.us-east-1.amazonaws.com · found in code
  • github.com · found in code
  • glama.ai · found in code
  • mistral.ai · found in code
  • openai.com · found in code
  • openrouter.ai · found in code
  • prices.azure.com · found in code
  • raw.githubusercontent.com · found in code

Files it touches

  • Your home directory (~)
  • Any path the agent passes to its tools

Tools (25)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • assess_migration

    Project cross-cloud cost + payback for moving a workload away from its source cloud. Inputs: source_cloud + workload inventory (compute / storage / object_storage / databases / egress) + optional one_time data to migrate. Returns per-target monthly cost, savings %, exit egress cost, payback months, ranked recommendation by 3-year TCO, and triggered caveats (e.g., 'OCI A1.Flex is ARM — verify your AMIs'). The kind of FinOps decision that normally lives in a half-built spreadsheet — now one tool call.

  • compare_carbon_footprint

    Multi-cloud carbon footprint comparison — the only FinOps tool that returns both USD cost AND kg CO2e/month side-by-side. For a given vCPU + memory shape (and optional quantity), returns per-cloud best-matching SKU + monthly cost + grid-based kg CO2e + market-based residual kg CO2e (after the cloud's published renewable matching) + power class (x86 vs ARM). Ranked cheapest-carbon-first. Surfaces tradeoffs (AWS/Azure 100% renewable matched, GCP ~64% CFE, OCI unmatched outside EU). Use when the user cares about sustainability, Green FinOps, or carbon-cost dual optimization.

  • compare_clouds

    Find the cheapest equivalent VM across AWS, Azure, GCP, and OCI for a single target spec (vCPUs and memory). Returns the best-fit SKU per cloud sorted by monthly cost, plus the absolute and percent savings of the cheapest vs the most expensive option. OCI A1 Always Free is included — for specs that fit within 4 OCPU + 24 GB Arm, OCI returns $0/mo (real perpetual free tier, not a quirk).

  • compare_compute_inventory

    Bulk-compare a list of compute workloads across AWS, Azure, GCP, and OCI. Each row is independently sized to the cheapest VM that meets its vCPU/memory spec on each cloud, multiplied by quantity and hours_per_month. Optional os_disk_gb adds attached storage cost. Returns per-row matches, per-cloud totals, and the cheapest cloud overall. Useful for sizing-sheet style inputs.

  • compare_egress

    Compare data-transfer costs across AWS, Azure, GCP, and OCI for a given monthly volume. Two directions supported: 'out_to_internet' (tiered pricing with free-tier credits — AWS/Azure 100 GB, OCI 10 TB free) and 'inter_region' (flat rate for cross-region transfer within the same cloud). At 50 TB/mo of internet egress OCI is ~12× cheaper than the hyperscalers — a real competitive moat for content/CDN workloads. VPC peering is NOT yet modeled.

  • compare_gpu_workload

    Cross-cloud GPU pricing comparison — finds the cheapest matching SKU per cloud for a (gpu_type, gpu_count) request. Supports NVIDIA T4 / A10 / A10G / L4 / L40S / V100 / A100 / H100 across AWS / Azure / GCP / OCI. Returns absolute hourly cost AND $/GPU/h so users can see both the absolute winner and the per-GPU packaging-efficiency winner (they're often different clouds). Surfaces over-provisioning when the only matching SKU has more GPUs than requested (e.g., asking for 1 H100 but only bare-metal 8x SKUs are available). Use for AI/ML workload pricing decisions — training, inference, fine-tunin…

  • compare_object_storage

    Compare object-storage pricing across AWS S3, Azure Blob, GCP Cloud Storage, and OCI Object Storage. Each request specifies capacity_gb and access tier (hot/cool/archive); the tool picks the cheapest SKU per cloud at that tier. OCI offers 20 GB Always Free in the 'hot' tier — surfaced when capacity fits. NOTE: egress, request, and retrieval costs are not modeled (often the actual hidden killer). v0.3 preview — placeholder pricing, verify before relying on numbers.

  • compare_postgres_database

    Compare managed PostgreSQL pricing across AWS RDS, Azure Database for PostgreSQL, GCP Cloud SQL, and OCI Database with PostgreSQL. Each request specifies vCPUs, memory, and storage_gb; the tool picks the cheapest matching SKU per cloud and totals compute + storage. v0.3 preview — pricing is bundled placeholder data; verify against current cloud pricing pages before relying on numbers.

  • compare_spot

    Compare spot / preemptible pricing for a vCPU + memory shape across AWS, Azure, GCP, and OCI. Returns per-cloud best-matching SKU + on-demand cost + spot cost + savings + eviction characteristics, ranked cheapest-first. The only multi-cloud spot comparison anyone publishes openly — AWS Spot vs Azure Spot vs GCP Spot VMs vs OCI Preemptible all use different pricing + eviction models, and this tool surfaces every one of them with their tradeoffs.

  • compare_storage_inventory

    Bulk-compare a list of block-storage volumes across AWS, Azure, GCP, and OCI. Each row picks the cheapest SKU matching its disk_type (ssd or hdd) on each cloud, then prices it at capacity_gb × quantity. Returns per-row matches, per-cloud totals, and cheapest cloud. IOPS and throughput are accepted but not used for SKU matching. Snapshot pricing is upper-bound (real-world incremental snapshots cost less).

  • compare_token_pricing

    Cross-provider LLM token pricing comparison — the only FinOps tool that returns per-1M input/output rates AND monthly cost for the same model on each provider that hosts it (Claude on Anthropic vs Bedrock vs Vertex; GPT on OpenAI vs Azure OpenAI; Llama on Bedrock; Gemini on Google vs Vertex; Mistral / DeepSeek direct). Filter by model_family ('claude', 'gpt', 'gemini', 'llama', 'mistral', 'deepseek'), exact model_id, or provider list. If monthly_input_tokens + monthly_output_tokens are provided, ranks by total monthly USD. Otherwise ranks by per-1M output cost (output tokens dominate most work…

  • compare_total_cost_of_ownership

    Project per-cloud per-year cost over a configurable horizon (default 3 years), with linear YoY growth assumptions for compute / storage / egress. Returns cumulative TCO per cloud, year-by-year breakdown by category, and sensitivity analysis identifying the most impactful growth variable. The kind of number that goes into board decks and budget conversations — now computed from a public catalog instead of a spreadsheet.

  • compare_workload

    Combined compute + block-storage compare across AWS, Azure, GCP, and OCI. Pass a compute list and a storage list (either may be empty). Returns nested per-row breakdowns plus combined per-cloud totals and the overall cheapest cloud. Mirrors the structure of a two-sheet sizing workbook (compute BoM + storage BoM). Optional `commitment` parameter estimates 1-year or 3-year Reserved Instance / Savings Plan / Committed Use discount on compute (storage stays at on-demand). For object storage, use compare_object_storage. For managed databases, use compare_postgres_database.

  • detect_price_anomalies

    Statistical anomaly detection over the bundled price-history dataset. Compounds the v0.7.1 history archive: as snapshots accumulate weekly, this tool auto-flags unusual price moves without you having to manually inspect every SKU. Two methods, auto-selected by dataset density: percent_change (for <5 snapshots) and z_score (>=5). Sensitivities: strict (10% / z>=2.5), moderate (5% / z>=2.0, default), permissive (2% / z>=1.5). Use for 'what changed this week?' and 'anything weird across any cloud since {date}?' queries. Excellent source for weekly LinkedIn / blog content auto-generation.

  • export_focus

    Emit FOCUS 1.3-shaped rows from any pricing query, ready to import into Vantage Custom Providers / Microsoft Cost Mgmt / OpenCost / Apptio / any FinOps tool that consumes the FinOps Foundation's open billing schema (ratified Dec 2025). The rows populate the list-price columns (ListCost, ListUnitPrice, PricingQuantity, etc.) and leave billed/contracted/effective columns NULL since cloudprice produces projections, not real bills — that's explicitly documented in the result's notes field. Use this when the user says 'export my comparison to FOCUS', 'send this to Vantage', 'plug this into our FinO…

Show 10 more tools
  • find_egress_arbitrage

    Specialized assess_migration scoped to egress patterns. Useful when a team's largest cost line is data transfer (CDN workloads, video streaming, content distribution). Returns per-target egress cost, monthly + annual savings, payback months on any one-time exit cost, and recommendation. The OCI 12× moat is the headline finding: at 50 TB/month internet egress, OCI is roughly $340 vs $4,000+ on the hyperscalers because of OCI's 10 TB/month free tier + $0.0085/GB beyond.

  • generate_decision_report

    Generate a CFO-grade FinOps decision report in markdown. Combines assess_migration + compare_carbon_footprint into a single structured artifact the user can paste into a wiki / PR / Slack / email. Sections: executive summary, per-cloud cost table, carbon comparison (optional), the workload spec, aggregated honest_gaps, and an audit trail (package version, catalog as_of, requester, reproduce command). The 'trust' angle commercial FinOps tools can't easily replicate because their reports live in their UI; this one is markdown the user owns. Use when the question is 'we need a decision artifact a…

  • get_aws_price

    Look up the on-demand Linux hourly + monthly price for an AWS EC2 instance type in us-east-1. Returns vCPUs, memory, hourly USD, and monthly USD (730 hours). For multi-cloud comparisons including OCI, Azure, and GCP, use compare_clouds instead.

  • get_azure_price

    Look up the on-demand Linux hourly + monthly price for an Azure VM size in eastus. Returns vCPUs, memory, hourly USD, and monthly USD.

  • get_gcp_price

    Look up the on-demand Linux hourly + monthly price for a GCP Compute Engine machine type in us-east1. Returns vCPUs, memory, hourly USD, and monthly USD.

  • get_price_history

    Return the multi-cloud price history for a specific (cloud, sku). cloudprice-mcp persists every weekly auto-refresh as a dated snapshot, so this is the only FinOps tool that can answer 'what did m5.xlarge cost in May?' — neither AWS Calculator nor GCP Estimator preserves historical pricing. Returns the timeseries, total change %, and the earliest/latest data points. Useful for: validating commitment timing, spotting quiet price increases, citing audit-traceable historical numbers to a CFO.

  • list_tracked_skus

    List every (cloud, sku) pair present in the bundled price-history dataset, with how many weekly snapshots exist for each. Use this to discover which SKUs you can call get_price_history on, or to find the biggest-mover SKUs since a given date. Filter by cloud to scope.

  • lookup_extended_model_pricing

    Search the extended LLM catalog (~2300 model/provider combinations auto-ingested weekly from two upstreams: LiteLLM's public JSON (direct-provider retail prices for Together AI, Fireworks, Replicate, Groq, Cerebras, Perplexity, regional Bedrock/Azure variants, etc.) and OpenRouter's /api/v1/models (routed prices including OpenRouter's margin). Every row tagged source='litellm' or source='openrouter' so callers can compare direct vs routed pricing for the same model. Complements compare_token_pricing (hand-curated, 19 vetted models). Use this when the user asks about: (a) a model or provider co…

  • optimize_commitment

    Compute per-scenario cost / savings / payback for compute commitment options (none, 1yr_no_upfront, 1yr_all_upfront, 3yr_no_upfront, 3yr_partial_upfront, 3yr_all_upfront). Returns each scenario's monthly cost, upfront, 3-year total, savings %, and payback months — plus the recommended scenario by lowest 3-year TCO. Compute-only (storage / database / object / egress are not discounted because most clouds don't offer meaningful commitments on these). Per-family RI tiers come in v0.6.x; v0.6.0 uses cloud-level conservative averages.

  • watch_workload

    Cost Drift Sentinel — turns cloudprice from query tool into agent capability. First call (no baseline): captures the current per-cloud monthly cost for the workload as a baseline JSON the caller persists. Subsequent calls (with the saved baseline): compute today's cost, compare to baseline, return a structured drift report with per-cloud delta + SKU-level attribution from the price-history dataset. Stateless — no database, no server-side storage. Drop the baseline JSON into a git repo or any durable location. Designed for scheduled agents (GitHub Actions cron, Claude Code's autonomous mode, et…

Signals

Stars
1
Forks
0
Open issues
2
Weekly downloads
105
Last commit
Sep 29, 2026 (29 days ago)
Last release
May 9, 2026 (5 months ago)
Last package publish
Sep 6, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.alialbaker/cloudprice-mcp
Version
0.2.2
Auth
No auth
Packages
pypi cloudprice-mcp
License
MIT
Repository
github.com/alialbaker/cloudprice-mcp
Website
albaker.info
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

Cloudprice MCP server. Agent Mart. https://agentmart.dev/connectors/alialbaker-cloudprice-mcp (last updated 2026-10-25)