# agentic-team-mcp

> agentic-team-mcp — menma4ever-agentic-team-mcp. Use this tool when you need to manage complex autonomous teams and integrate multiple AI models, such as Claude Code, Antigravity, Codex, and Direct API, to solve problems that require hierarchical decision-making and real-time monitoring. It solves issues related to team coordination, task allocation, and model integration, providing a web UI and persistent SQLite queues for efficient workflow management. Ideal for use cases that require scalable, distributed, and autonomous team management with version control through git.

Canonical page: https://skillsregistry.net/skills/menma4ever-agentic-team-mcp  
JSON: https://api.skillsregistry.net/v1/skills/menma4ever-agentic-team-mcp

## Description

Autonomous hierarchical multi-agent team (CEO -> Manager -> Workers) for Model Context Protocol (MCP). Mix Claude Code, Antigravity, Codex & Direct API with persistent SQLite queues and a real-time web UI.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/menma4ever/agentic-team-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": "menma4ever-agentic-team-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/menma4ever-agentic-team-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/menma4ever-agentic-team-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
