# relayos-mcp

> Use this tool when you need to streamline AI team workflows by offloading simple tasks to free models and leveraging Claude for strategic planning and review. It solves problems of inefficient task allocation and limited model utilization, enabling seamless collaboration between models via MCP tools. The relayos-mcp tool takes in task delegations and model inputs, outputting optimized workflows and executed commands.

Canonical page: https://skillsregistry.net/skills/jjjjjjjjnnjnn-relayos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jjjjjjjjnnjnn-relayos-mcp

## Description

Enables Claude Code to orchestrate AI team tasks by delegating simple work to free models (Mimo, OpenCode) and using Claude for planning and review, all via MCP tools like command execution and AI queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y6t2e758nz)
- **Repository:** <https://github.com/jjjjjjjjnnjnn/relayos-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": "jjjjjjjjnnjnn-relayos-mcp"
    }
  }
}
```

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