general MCP Server
MCP server for multi-cloud cost analysis of Terraform codebases — supports AWS, Azure, and GCP
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
1. Install the package
npx @jadenrazo/cloudcost-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"-jadenrazo-cloudcost-mcp": {
"command": "npx",
"args": [
"@jadenrazo/cloudcost-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
`aws \
Yes
`aws \
`string[]`
`string`
$48.00
`true`
`google_api_gateway_api`
`string`
`object[]`
`string`
`number` (0–1)
`info`
`azurerm_kubernetes_cluster`
No
`string`
$314.64
`on_demand`
`azurerm_dns_zone`
### How this compares to Infracost Infracost is the mature choice for **Terraform-on-AWS cost estimation in CI** — PR-comment cost deltas, threshold gating, deep Terragrunt support. If that's your workflow, use it. CloudCostMCP targets a different surface: - **Agent-native via MCP.** Models call it as a tool *during* generation. `check_cost_budget` returns `allow` / `warn` / `block` with the specific blocking resources named, fast enough on a warm pricing cache for an agent to veto an expensive config before writing it to disk. - **Multi-IaC in one server.** Terraform, CloudFormation, Pulumi, Bicep/ARM — one tool, not four. - **Zero credentials.** All pricing comes from public endpoints. No account, no cloud IAM, no API keys. - **Optimization + what-if scenarios built in.** Right-sizing, reserved-pricing, cross-provider switching, and spot modeling are first-class tools. The two are complementary. Use Infracost in CI; use CloudCostMCP inside your agent or editor. --- ## Installation Requires **Node.js 20** or later. ### 60-second quick start (Claude Code) ```bash npm install -g @jadenrazo/cloudcost-mcp claude mcp add cloudcost -- cloudcost-mcp ``` Then, inside a project directory with Terraform files, ask Claude: > *"Use cloudcost to estimate the monthly AWS cost of this Terraform config, then check it against a $2000/month budget with check_cost_budget."* No API keys, no cloud credentials, no separate account. For other MCP clients (Claude Desktop, Cursor, any MCP-compatible agent), see the detailed setup below. ### All install options ```bash # From source git clone https://github.com/jadenrazo/CloudCostMCP.git cd CloudCostMCP npm install npm run build ``` ```bash # Global npm install npm install -g @jadenrazo/cloudcost-mcp ``` ```bash # One-shot, no install npx -y @jadenrazo/cloudcost-mcp ``` ### Claude Desktop Add to your Claude Desktop MCP configuration (`claude_desktop_config.json`): ```json { "mcpServers": { "cloudcost": { "command": "node", "args": ["/path/to/CloudCostMCP/dist/index.js"] } } } ``` If installed globally via npm: ```json { "mcpServers": { "cloudcost": { "command": "cloudcost-mcp" } } } ``` ### Claude Code ```bash claude mcp add cloudcost -- node /path/to/CloudCostMCP/dist/index.js ``` Or if installed globally via npm: ```bash claude mcp add cloudcost -- cloudcost-mcp ``` ### As a standalone MCP server (stdio) ```bash node dist/index.js ``` --- ## Tools The server exposes twelve MCP tools. Each accepts JSON input and returns structured JSON output. For agent-centric workflows, `check_cost_budget` is the headline tool: it returns an `allow` / `warn` / `block` verdict fast enough to be called between IaC generation and disk write — see [docs/guardrails.md](./docs/guardrails.md). ### `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.
`string`
Default
`0.8`
Required
`string`
`string`
`string`
`{path, content}[]`
`number`
Type
`aws \
`number`
AWS
`730`
`azurerm_container_registry`
`markdown \
$1,176.48
`false`
`azurerm_key_vault`
Extensions
No
$72.00
`80`
`azurerm_web_application_firewall_policy`
`number`
`86400`
`number`
`~/.cloudcost/cache.db`
`azurerm_virtual_machine`, `azurerm_linux_virtual_machine`
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