# ecs-mcp

> Use this tool when you need to monitor and analyze AWS ECS services, solving problems related to service status, performance, and scalability. It provides inputs such as service status and CloudWatch metrics, and outputs detailed analytics and insights, helping you optimize your containerized applications. Ideal for use in container orchestration and cloud infrastructure management contexts.

Canonical page: https://skillsregistry.net/skills/neoai-agent-ecs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/neoai-agent-ecs-mcp

## Description

Monitor and analyze AWS ECS services, including service status, CloudWatch metrics, and load balancer integration.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/slzdywa2qp)
- **Repository:** <https://github.com/neoai-agent/ecs-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": "neoai-agent-ecs-mcp"
    }
  }
}
```

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