# AWS MCP

> Use this tool when you need to integrate AI agents with Amazon Web Services (AWS) infrastructure, enabling access to AWS resources through documentation, API calls, and standardized operating procedure (SOP) workflows. It solves problems of complex AWS management and automation, providing a managed server for streamlined interactions. Ideal for use cases requiring secure and efficient AI-AWS integration, with inputs including API requests and documentation queries, and outputs including automated workflow executions and resource allocations.

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

## Description

A managed MCP server enabling AI agents to access AWS using docs, API calls, and SOP workflows.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/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": "aws-mcp"
    }
  }
}
```

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