# io.github.bepunk/zoogent

> Use this tool when you need to orchestrate AI agents across multiple teams, requiring a centralized web dashboard and integration with over 35 MCP tools. It solves problems of complexity and scalability in AI agent management, providing a unified interface for deployment and monitoring. Ideal for large-scale AI implementations, it streamlines workflows and enhances collaboration.

Canonical page: https://skillsregistry.net/skills/io-github-bepunk-zoogent  
JSON: https://api.skillsregistry.net/v1/skills/io-github-bepunk-zoogent

## Description

AI agent orchestrator with Architect AI. Multi-team, web dashboard, 35+ MCP tools.

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.3.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.bepunk%2Fzoogent)
- **Repository:** <https://github.com/bepunk/zoogent>

## 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-bepunk-zoogent"
    }
  }
}
```

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