# cloudcost-mcp

> cloudcost-mcp — marilynceo-cloudcost-mcp. Use this tool when you need to track and optimize cloud spending across multiple platforms, including AWS, GCP, and Azure. It provides cloud cost and usage intelligence, detecting anomalies and forecasting costs to help AI agents make informed decisions. With a SQLite-backed interface and no external API costs, it's ideal for managing and optimizing cloud resource usage.

Canonical page: https://skillsregistry.net/skills/marilynceo-cloudcost-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-cloudcost-mcp

## Description

Cloud cost and usage intelligence for AI agents u2014 track cloud spending, detect anomalies, forecast costs, and optimize resource usage across AWS, GCP, and Azure. SQLite-backed with zero external API costs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/cloudcost-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "marilynceo-cloudcost-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marilynceo-cloudcost-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marilynceo-cloudcost-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt