# LW MCP Agents

> Use this tool when you need to build and manage scalable multi-agent systems with ease, as it solves problems of complexity and scalability in AI agent orchestration. It takes configuration files as input and outputs a functional multi-agent system, enabling seamless integration and deployment. Ideal for use cases requiring flexible and efficient AI agent management, such as distributed problem-solving and autonomous systems.

Canonical page: https://skillsregistry.net/skills/autumn-ais-lw-mcp-agents  
JSON: https://api.skillsregistry.net/v1/skills/autumn-ais-lw-mcp-agents

## Description

A lightweight framework for building and orchestrating AI agents through the Model Context Protocol, enabling users to create scalable multi-agent systems using only configuration files.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bepukxvwgc)
- **Repository:** <https://github.com/Autumn-AIs/LW-MCP-agents>

## 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": "autumn-ais-lw-mcp-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/autumn-ais-lw-mcp-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/autumn-ais-lw-mcp-agents/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