# multi-agent-orchestrator

> Use this tool when you need to gather diverse perspectives on a single topic by orchestrating multiple AI agents in parallel. It solves problems such as limited viewpoints and biased opinions by supporting debate, review, and quick modes, providing a comprehensive output. Ideal for use cases where multiple viewpoints are essential, it takes in a topic as input and outputs a consolidated report of diverse perspectives.

Canonical page: https://skillsregistry.net/skills/swamirama-multi-agent-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/swamirama-multi-agent-orchestrator

## Description

An MCP server that orchestrates multiple AI agents in parallel to get diverse perspectives on a single topic, supporting debate, review, and quick modes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a0udefsexw)
- **Repository:** <https://github.com/SwamiRama/multi-agent-orchestrator>

## 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": "swamirama-multi-agent-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swamirama-multi-agent-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swamirama-multi-agent-orchestrator/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