# AWS Cost Explorer and Bedrock Usage Analytics

> Use this tool when you need to analyze and optimize your AWS cloud spending and Amazon Bedrock usage. It provides detailed breakdowns of EC2 spending, service costs, and usage patterns by region, user, and model, allowing for data-driven decision making. The tool accepts CloudWatch logs as input and outputs actionable insights, making it ideal for AWS customers seeking to monitor and control their cloud expenses and AI model usage within Claude conversations.

Canonical page: https://skillsregistry.net/skills/amit-arora-aws-cost-explorer-bedrock-usage  
JSON: https://api.skillsregistry.net/v1/skills/amit-arora-aws-cost-explorer-bedrock-usage

## Description

AWS Cost Explorer MCP Server provides a specialized interface for retrieving AWS cloud spending data and Amazon Bedrock usage statistics through CloudWatch logs. Developed by Amit Arora, this Python-based server exposes Cost Explorer API functionality and Bedrock model invocation logs as MCP tools, allowing detailed analysis of EC2 spending, service costs breakdowns, and Bedrock usage patterns by region, user, and model. The implementation supports both local deployment via Claude Desktop and remote operation on Amazon EC2, making it particularly valuable for AWS customers who need to monitor and analyze their cloud spending and AI model usage directly within Claude conversations.

## 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:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amit-arora-aws-cost-explorer-bedrock-usage)
- **Repository:** <https://github.com/aarora79/aws-cost-explorer-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": "amit-arora-aws-cost-explorer-bedrock-usage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amit-arora-aws-cost-explorer-bedrock-usage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amit-arora-aws-cost-explorer-bedrock-usage/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