# mcp-swarm

> Use this tool when you need to efficiently manage multiple large language models (LLMs) for various tasks, as it automatically selects the most suitable model based on task content and role requirements, providing streamlined model interaction and task analysis. It solves problems of model selection and optimization, allowing for effective use of specialized AI models. The tool takes in task content and role requirements as inputs and outputs the most suitable LLM for the task, enabling seamless integration into workflows that require adaptable AI capabilities.

Canonical page: https://skillsregistry.net/skills/moselu-mcp-swarm  
JSON: https://api.skillsregistry.net/v1/skills/moselu-mcp-swarm

## Description

A multi-model agent swarm coordinator that automatically selects the most suitable LLM based on task content and role requirements. It provides tools for automated model selection, direct model interaction, and task analysis across a variety of specialized AI models.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mdjw4knrvh)
- **Repository:** <https://github.com/MoseLu/mcp-swarm>

## 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": "moselu-mcp-swarm"
    }
  }
}
```

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