# Amazon ECS

> Use this tool when you need to manage and troubleshoot Amazon Elastic Container Service (ECS) deployments using natural language inputs. It solves problems related to container issues, image pull errors, and resource dependencies, providing outputs such as deployment status and configuration inspections. Ideal for use cases involving ECS management and troubleshooting, with inputs handled via the mcp-proxy-for-aws package for secure AWS authentication.

Canonical page: https://skillsregistry.net/skills/amazon-ecs  
JSON: https://api.skillsregistry.net/v1/skills/amazon-ecs

## Description

Provides a fully managed, cloud-hosted interface for Amazon Elastic Container Service (ECS) that enables natural language access to ECS management and troubleshooting capabilities. Supports monitoring deployments and services, troubleshooting container issues and image pull errors, inspecting VPC, subnet, and security group configurations, and resolving resource dependencies that block task definition deletion. Connects via the mcp-proxy-for-aws PyPI package which handles AWS SigV4 authentication.

## 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:** 2026-06-11

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amazon-ecs)

## 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": "amazon-ecs"
    }
  }
}
```

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