# awrelay

> awrelay — aitherium-awrelay. Use this tool when you need to facilitate inter-agent communication and coordination through structured messaging. It solves problems of agent collaboration and information sharing by providing tools for sending and receiving messages, retrieving message history, and managing communication channels. With inputs of message data and outputs of received messages and channel updates, awrelay is ideal for use cases requiring agent teamwork and data exchange.

Canonical page: https://skillsregistry.net/skills/aitherium-awrelay  
JSON: https://api.skillsregistry.net/v1/skills/aitherium-awrelay

## Description

Enables agents to send and receive structured messages through an AitherRelay-shaped chat server, providing relay_send, relay_history, and relay_channels tools for inter-agent coordination.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i99sn1nncm)
- **Repository:** <https://github.com/Aitherium/awrelay>

## 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": "aitherium-awrelay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aitherium-awrelay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aitherium-awrelay/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