# AWS Cost Analysis

> Use this tool when you need to optimize AI application budgets and manage costs effectively. It analyzes LLM API call costs by tracking token usage and calculating costs based on model pricing, providing detailed breakdowns and usage statistics. Ideal for use cases where cost transparency and optimization are crucial, such as large-scale AI deployments or applications with variable usage patterns.

Canonical page: https://skillsregistry.net/skills/aws-cost-analysis  
JSON: https://api.skillsregistry.net/v1/skills/aws-cost-analysis

## Description

An MCP server that analyzes the cost of LLM API calls by tracking tokens used and calculating costs based on model pricing. It provides detailed cost breakdowns and usage statistics for better budget management and optimization of AI applications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aws-cost-analysis)
- **Repository:** <https://github.com/awslabs/mcp/tree/HEAD/src/cost-analysis-mcp-server>

## 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": "aws-cost-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-cost-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-cost-analysis/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