# ateam-mcp

> ateam-mcp — ariekogan-ateam-mcp. Use this tool when you need to build, validate, and deploy multi-agent solutions from any AI environment, solving problems of integration and deployment for autonomous systems. It takes in AI models and code from various environments and outputs validated and deployable multi-agent solutions. Ideal for use cases involving ADAS and multi-agent systems, with integration with git for version control.

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

## Description

ADAS MCP Server — build, validate, and deploy multi-agent solutions from any AI environment

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ariekogan/ateam-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": "ariekogan-ateam-mcp"
    }
  }
}
```

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