@jadenrazo/cloudcost-mcp
v0.4.0
Published
MCP server for multi-cloud cost analysis of Terraform, CloudFormation, Pulumi, and Bicep/ARM codebases
Maintainers
Readme
CloudCost MCP is a Model Context Protocol server that lets AI agents parse Terraform codebases, query real-time pricing data, and generate multi-cloud cost comparison reports. It connects directly to public pricing APIs from AWS, Azure, and GCP. No API keys or cloud credentials required.
What it does
- Parses Terraform HCL files and extracts resource inventories with variable resolution, including referenced modules and OpenTofu
.tofufiles - Queries live on-demand pricing from AWS Bulk Pricing CSV and Azure Retail Prices REST API; GCP via live Cloud Billing Catalog API with bundled fallback
- Maps equivalent resources across AWS, Azure, and GCP (compute, database, storage, networking, Kubernetes, container registries, secrets management, DNS)
- Generates cost estimates with per-resource breakdowns (monthly and yearly) across multiple currencies
- Compares costs across all three providers side-by-side in markdown, JSON, CSV, or FOCUS format
- Provides optimization recommendations: right-sizing, reserved pricing, provider switching, spot/preemptible instances
- Models hypothetical scenarios (instance type changes, region moves, commitment levels) without modifying Terraform files
- Projects costs over 3, 6, 12, and 36-month horizons with reserved instance comparisons
- Tags resources for cost attribution and groups report output by team, environment, or any custom label
- Posts cost estimate comments to pull requests via a reusable GitHub Actions composite action
Installation
Requires Node.js 20 or later.
git clone https://github.com/jadenrazo/CloudCostMCP.git
cd CloudCostMCP
npm install
npm run buildOr install from npm:
npm install -g @jadenrazo/cloudcost-mcpOr run directly without installing:
npx -y @jadenrazo/cloudcost-mcpClaude Desktop
Add to your Claude Desktop MCP configuration (claude_desktop_config.json):
{
"mcpServers": {
"cloudcost": {
"command": "node",
"args": ["/path/to/CloudCostMCP/dist/index.js"]
}
}
}If installed globally via npm:
{
"mcpServers": {
"cloudcost": {
"command": "cloudcost-mcp"
}
}
}Claude Code
claude mcp add cloudcost -- node /path/to/CloudCostMCP/dist/index.jsOr if installed globally via npm:
claude mcp add cloudcost -- cloudcost-mcpAs a standalone MCP server (stdio)
node dist/index.jsTools
The server exposes seven MCP tools. Each accepts JSON input and returns structured JSON output.
analyze_terraform
Parse Terraform files and return a resource inventory. Detects the cloud provider, resolves variables (including tfvars), and extracts cost-relevant attributes like instance types, storage sizes, and database engines.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| files | {path, content}[] | Yes | Terraform .tf files to analyze |
| tfvars | string | No | Contents of a terraform.tfvars file |
estimate_cost
Calculate costs for parsed resources on a specific provider. Returns monthly and yearly breakdowns per resource with confidence scores.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| files | {path, content}[] | Yes | Terraform files |
| tfvars | string | No | Variable overrides |
| provider | aws \| azure \| gcp | Yes | Target provider for pricing |
| region | string | No | Target region (auto-mapped if omitted) |
| currency | string | No | Output currency (default: USD). Supports: USD, EUR, GBP, JPY, CAD, AUD, INR, BRL |
compare_providers
Full pipeline: parse Terraform, map resources across providers, fetch pricing, and produce a comparison report. This is the main entry point for cost analysis.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| files | {path, content}[] | Yes | Terraform files |
| tfvars | string | No | Variable overrides |
| format | markdown \| json \| csv \| focus | No | Report format (default: markdown) |
| providers | string[] | No | Providers to compare (default: all three) |
| currency | string | No | Output currency (default: USD). Supports: USD, EUR, GBP, JPY, CAD, AUD, INR, BRL |
get_equivalents
Look up the equivalent Terraform resource type and instance size across providers. Useful for migration planning.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| resource_type | string | Yes | Terraform resource type (e.g., aws_instance) |
| source_provider | aws \| azure \| gcp | Yes | Provider the resource belongs to |
| target_provider | aws \| azure \| gcp | No | Specific target (omit for all) |
| instance_type | string | No | Instance type to also map (e.g., t3.large) |
get_pricing
Direct pricing lookup. Returns the normalized unit price with metadata for a specific resource on a specific provider.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| provider | aws \| azure \| gcp | Yes | Cloud provider |
| service | compute \| database \| storage \| network \| kubernetes | Yes | Service category |
| resource_type | string | Yes | Instance type, storage type, etc. |
| region | string | Yes | Cloud region |
optimize_cost
Analyze Terraform resources and return optimization recommendations. Includes right-sizing suggestions, reserved instance comparisons, and cross-provider savings opportunities.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| files | {path, content}[] | Yes | Terraform files |
| tfvars | string | No | Variable overrides |
| providers | string[] | No | Providers to evaluate (default: all three) |
what_if
Run hypothetical pricing scenarios against existing Terraform resources. Change instance types, regions, providers, or commitment levels and see the cost delta without modifying your actual configuration.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| files | {path, content}[] | Yes | Terraform files |
| tfvars | string | No | Variable overrides |
| scenarios | object[] | Yes | Changes to model. Each specifies a resource name and the attributes to override |
| providers | string[] | No | Providers to evaluate (default: all three) |
| currency | string | No | Output currency (default: USD) |
Example: model the cost impact of switching compute from on-demand to spot across providers:
{
"files": [{ "path": "main.tf", "content": "..." }],
"scenarios": [
{ "resource": "aws_instance.web", "pricing_model": "spot" },
{ "resource": "aws_instance.app", "instance_type": "m6i.2xlarge" }
]
}How Pricing Works
CloudCost uses a tiered approach to get the most accurate pricing available without requiring any API keys or credentials.
AWS
Live CSV streaming (primary). For EC2 compute pricing, the server streams the AWS Bulk Pricing CSV for the target region line-by-line. This avoids loading the full ~267 MB file into memory. All on-demand compute prices for the region are extracted in a single pass and cached in SQLite for 24 hours. Concurrent requests for the same region share a single download.
Live JSON API (secondary). For RDS (~24 MB), S3, ELB, and VPC, the server fetches regional JSON from the AWS Price List Bulk API. These files are small enough to parse directly.
Fallback tables + interpolation. If live fetching fails (network issues, timeouts), the server falls back to built-in pricing tables covering 85+ EC2 and 29 RDS instance types. A size-interpolation algorithm estimates prices for unlisted sizes within known families by following AWS's predictable doubling pattern (e.g.,
largetoxlargedoubles the price).
Azure
Live REST API (primary). Queries the Azure Retail Prices API with OData filters for exact SKU matching (
armSkuName). Fast, free, unauthenticated. Returns precise per-SKU pricing. Results are paginated and fully consumed.Fallback tables + interpolation. If the API is unreachable, falls back to built-in tables covering 40+ VM sizes and 14 database tiers. A vCPU-proportional interpolation algorithm estimates prices for unlisted sizes.
GCP
Live Cloud Billing Catalog API (primary). Queries the GCP Cloud Billing Catalog API (
cloudbilling.googleapis.com) using unauthenticated public endpoints. Results are cached for 24 hours.Bundled pricing data (fallback). If the live API is unreachable, falls back to curated pricing data in
data/gcp-pricing/that ships with the package. Covers Compute Engine machine types, Cloud SQL tiers, Cloud Storage classes, and Persistent Disk types across all major regions.Infrastructure services. Load balancer, Cloud NAT, and GKE pricing use fixed public rates.
Pricing Source Transparency
Every price returned includes a pricing_source attribute indicating its origin:
"live": fetched from a public API in real time"fallback": from built-in tables (approximate, but reasonable for estimates)"bundled": from bundled data files shipped with the package
All pricing data is cached in a local SQLite database (~/.cloudcost/cache.db) with a 24-hour TTL to minimize redundant API calls.
Example
Given this Terraform config:
# infrastructure.tf
resource "aws_instance" "web" {
count = 3
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t3.xlarge"
}
resource "aws_instance" "app" {
count = 2
ami = "ami-0c55b159cbfafe1f0"
instance_type = "m5.2xlarge"
}
resource "aws_db_instance" "primary" {
instance_class = "db.r6g.xlarge"
engine = "postgres"
allocated_storage = 200
}
resource "aws_ebs_volume" "data" {
count = 5
size = 500
type = "gp3"
}
resource "aws_s3_bucket" "assets" {}
resource "aws_lb" "main" {
load_balancer_type = "application"
}
resource "aws_nat_gateway" "main" {}
resource "aws_eks_cluster" "main" {
name = "prod"
}Running compare_providers against that config produces:
| Category | AWS (USD/mo) | Azure (USD/mo) | GCP (USD/mo) |
|-----------------|-------------|----------------|--------------|
| Compute | $1,176.48 | $1,209.60 | $1,142.88 |
| Database | $314.64 | $297.12 | $285.48 |
| Storage | $48.00 | $52.80 | $44.00 |
| Load Balancer | $16.20 | $18.00 | $18.26 |
| NAT Gateway | $32.40 | $32.40 | $31.68 |
| Kubernetes | $72.00 | $72.00 | $72.00 |
| **Total** | **$1,659.72** | **$1,681.92** | **$1,594.30** |Prices are on-demand estimates. Actual costs vary by usage, region, and commitment level.
Configuration
All configuration is optional. The server works out of the box with sensible defaults.
Environment Variables
| Variable | Default | Description |
|----------|---------|-------------|
| CLOUDCOST_CACHE_TTL | 86400 | Cache TTL in seconds (24 hours) |
| CLOUDCOST_CACHE_PATH | ~/.cloudcost/cache.db | SQLite cache file location |
| CLOUDCOST_LOG_LEVEL | info | Log level: debug, info, warn, error |
| CLOUDCOST_MONTHLY_HOURS | 730 | Hours per month for cost calculations |
| CLOUDCOST_INCLUDE_DATA_TRANSFER | false | Include estimated data transfer costs in reports |
| CLOUDCOST_PRICING_MODEL | on_demand | Default pricing model: on_demand, spot, or reserved |
| CLOUDCOST_RESOLVE_MODULES | true | Expand referenced Terraform modules during parsing |
| CLOUDCOST_BUDGET_MONTHLY | | Monthly budget cap in USD. Triggers a warning when exceeded |
| CLOUDCOST_BUDGET_PER_RESOURCE | | Per-resource monthly budget cap in USD |
| CLOUDCOST_BUDGET_WARN_PCT | 80 | Percentage of budget at which a warning is surfaced (default: 80%) |
Config File
You can also create ~/.cloudcost/config.json:
{
"cache": {
"ttl_seconds": 43200,
"db_path": "/tmp/cloudcost-cache.db"
},
"pricing": {
"monthly_hours": 730,
"default_currency": "USD"
},
"logging": {
"level": "debug"
}
}Configuration priority: environment variables > config file > built-in defaults.
Architecture
┌───────────────────────────────┐
│ MCP Client │
│ (Claude Desktop / Agent) │
└──────────────┬────────────────┘
│ stdio
┌──────────────▼────────────────┐
│ CloudCost MCP Server │
│ (src/server.ts) │
└──────────────┬────────────────┘
│
┌────────────────────────┼───────────────────────┐
│ │ │
┌─────────▼─────────┐ ┌─────────▼─────────┐ ┌─────────▼─────────┐
│ Tool Handlers │ │ HCL Parsers │ │ Cost Engine │
│ (src/tools/*.ts) │ │ (src/parsers/) │ │ (src/calculator/) │
└─────────┬─────────┘ └───────────────────┘ └─────────┬─────────┘
│ │
┌─────────▼────────────────────────────────────────────────▼─────────┐
│ PricingEngine (router) │
│ (src/pricing/pricing-engine.ts) │
└──────┬───────────────────┬─────────────────────┬───────────────────┘
│ │ │
┌────────▼───────┐ ┌────────▼───────┐ ┌────────▼───────┐
│ AWS Bulk │ │ Azure Retail │ │ GCP Bundled │
│ Loader │ │ Client │ │ Loader │
│ (CSV + JSON) │ │ (REST API) │ │ (static JSON) │
└────────┬───────┘ └────────┬───────┘ └────────┬───────┘
│ │ │
▼ ▼ ▼
AWS Bulk Pricing Azure Retail API data/gcp-pricing/
CSV (public) (public, no auth) (bundled files)Key Design Decisions
- Zero API keys. All pricing comes from public endpoints. AWS uses the unauthenticated Bulk Pricing files. Azure uses the free Retail Prices REST API. GCP queries the Cloud Billing Catalog API with bundled fallback.
- SQLite cache. A single
better-sqlite3database caches all pricing lookups with configurable TTL. Shared across all tools per server lifetime. - Streaming for large files. AWS EC2 pricing data (~267 MB CSV) is streamed line-by-line rather than loaded into memory. Prices for a region are extracted in one pass and cached.
- Graceful degradation. If any live pricing source is unavailable, the server falls back to built-in tables with size-interpolation. Every response includes the pricing source so the consumer knows the confidence level.
- ESM-only. Requires Node 20+. All internal imports use
.jsextensions.
Supported Resources
| Category | AWS | Azure | GCP |
|----------|-----|-------|-----|
| Compute | aws_instance, aws_launch_template | azurerm_virtual_machine, azurerm_linux_virtual_machine | google_compute_instance |
| Database | aws_db_instance, aws_rds_cluster | azurerm_postgresql_flexible_server, azurerm_mysql_flexible_server | google_sql_database_instance |
| Storage | aws_ebs_volume, aws_s3_bucket | azurerm_managed_disk, azurerm_storage_account | google_compute_disk, google_storage_bucket |
| Network | aws_lb, aws_nat_gateway | azurerm_lb, azurerm_nat_gateway | google_compute_forwarding_rule |
| Kubernetes | aws_eks_cluster | azurerm_kubernetes_cluster | google_container_cluster |
| Container Registries | aws_ecr_repository | azurerm_container_registry | google_artifact_registry_repository |
| Secrets Management | aws_secretsmanager_secret | azurerm_key_vault | google_secret_manager_secret |
| DNS | aws_route53_zone | azurerm_dns_zone | google_dns_managed_zone |
Instance type mapping covers 70+ AWS instance types (including Graviton/ARM families: m6g, m7g, c6g, c7g, r6g, r7g, t4g), 40+ Azure VM sizes, and 20+ GCP machine types with full bidirectional cross-provider mapping.
Limitations
- On-demand pricing only by default. Prices reflect pay-as-you-go rates. The
optimize_costtool will recommend reserved instances and savings plans, but base estimates use on-demand. Passpricing_model: "spot"inwhat_ifscenarios to model spot/preemptible pricing. - GCP live pricing is fetched from the Cloud Billing Catalog API with automatic fallback to bundled data when the API is unreachable. Bundled prices may lag slightly behind actual rates.
- First request latency. The initial EC2 pricing lookup for a new AWS region may take 30-120 seconds as the CSV file is streamed. Subsequent lookups for the same region are instant (cached for 24 hours).
- Specialty instance types. GPU instances (p4d, g5, etc.), high-memory (x2idn), and bare-metal types may fall back to interpolated pricing if not in the built-in tables and live fetch fails.
Troubleshooting
$0 cost estimates. The instance type string in your Terraform code probably doesn't match any known pricing data. Check that you're using a real instance type (e.g., t3.xlarge) rather than a variable reference that wasn't resolved. Pass your terraform.tfvars content via the tfvars parameter to resolve variables.
Slow first request. The first EC2 pricing lookup for a new region streams the full AWS pricing CSV (~267 MB). One-time cost per region; subsequent lookups hit the local SQLite cache. Set CLOUDCOST_LOG_LEVEL=debug to see progress.
Cache issues. Delete ~/.cloudcost/cache.db to clear all cached pricing data. The cache rebuilds automatically on the next request.
Node version. Requires Node.js 20+. Uses ESM modules, Web Streams API (TextDecoderStream), and AbortSignal.timeout().
GitHub Actions
A reusable composite action is included at .github/actions/cost-estimate/. It detects changed .tf files, runs a cost comparison, and posts the result as a PR comment.
# .github/workflows/cost-estimate.yml
name: Terraform Cost Estimate
on:
pull_request:
types: [opened, synchronize]
jobs:
cost-estimate:
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: ./.github/actions/cost-estimate
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
# terraform_dir: "./terraform"
# providers: "aws,azure,gcp"
# format: "markdown"
# currency: "USD"The action auto-detects the directory containing changed .tf files and skips gracefully when no Terraform changes are present in the PR.
Development
npm run dev # Run with tsx (hot reload, no build needed)
npm test # Run all tests (vitest)
npm run test:watch # Watch mode
npm run build # Production build (tsup → dist/)
npm run lint # Type check (tsc --noEmit)Project Structure
src/
├── index.ts # Entry point (process error handlers + start)
├── server.ts # MCP server setup, tool registration
├── config.ts # Config loader (defaults → file → env vars)
├── logger.ts # Structured logger
├── currency.ts # Multi-currency conversion and formatting
├── tools/
│ ├── ... # MCP tool handlers + Zod schemas
│ └── what-if.ts # Hypothetical scenario modeling
├── parsers/
│ ├── ... # HCL parsing, variable resolution
│ ├── module-resolver.ts # Terraform module expansion
│ └── dependency-graph.ts # Resource dependency graph builder
├── pricing/
│ ├── pricing-engine.ts # Router: dispatches to provider adapters
│ ├── cache.ts # SQLite-backed pricing cache
│ ├── aws/ # Bulk CSV streaming + JSON + fallback
│ ├── azure/ # Retail Prices REST API + fallback
│ └── gcp/
│ ├── bundled-loader.ts # Static bundled pricing fallback
│ └── cloud-billing-client.ts # Live GCP Cloud Billing Catalog API
├── calculator/
│ ├── ... # Cost calculations per resource type
│ ├── projection.ts # Multi-horizon cost projections
│ ├── container-registry.ts
│ ├── secrets.ts
│ └── dns.ts
├── mapping/ # Cross-provider resource/instance mapping
├── reporting/
│ ├── ... # Markdown, JSON, CSV formatters
│ └── focus-report.ts # FOCUS-compliant export format
└── types/ # Shared TypeScript interfaces
data/
├── instance-map.json # Bidirectional instance type mappings
├── storage-map.json # Cross-provider storage type mappings
├── gcp-pricing/ # Bundled GCP pricing data
└── instance-types/ # Instance type metadataLicense
MIT. See LICENSE for details.
