# AWS

> Use this tool when you need to access and manage AWS resources securely, execute AWS-related code, or perform data analysis using AWS services. It solves problems related to credential management, profile selection, and region configuration, providing a standardized interface for AI systems to interact with AWS. Ideal for use cases such as automated deployments, resource monitoring, and large-scale data analytics in the AWS ecosystem.

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

## Description

This AWS MCP server, developed by an unknown author, provides a bridge between AI assistants and AWS services using the AWS SDK v2. It implements credential management, profile selection, and region configuration to enable secure access to AWS resources. The server exposes tools for executing AWS-related code, listing available credentials, and selecting profiles. By abstracting AWS SDK interactions into a standardized MCP interface, it allows AI systems to perform a wide range of AWS operations, from basic resource management to complex data analysis. This implementation is particularly useful for scenarios requiring programmatic AWS access, cloud infrastructure management, or data processing using AWS services, facilitating use cases such as automated deployments, resource monitoring, and large-scale data analytics in the AWS ecosystem.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rafalwilinski-aws)
- **Repository:** <https://github.com/rafalwilinski/aws-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": "rafalwilinski-aws"
    }
  }
}
```

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