# AWS MCP Server

> Use this tool when you need to streamline interactions with Amazon Web Services (AWS) using standardized documentation, API calls, and predefined workflows. It solves problems related to accessing and managing AWS resources, providing a centralized interface for AI agents to execute tasks efficiently. The AWS MCP Server accepts inputs such as API requests and documentation queries, and outputs relevant data and execution results, ideal for use cases requiring automated AWS resource management and integration.

Canonical page: https://skillsregistry.net/skills/io-github-aws-aws-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-aws-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-preview.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.aws%2Faws-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": "io-github-aws-aws-mcp"
    }
  }
}
```

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