# peer-relay

> Use this tool when you need to facilitate asynchronous communication between separate instances of Claude Code, enabling them to exchange direct questions and answers without sharing context. It solves problems of isolated instance interaction, allowing for indirect knowledge sharing and cooperative processing. The peer-relay tool accepts question and answer inputs from one instance and outputs them to another, ideal for use cases requiring distributed processing or secure information exchange.

Canonical page: https://skillsregistry.net/skills/jmgomezl-peer-relay  
JSON: https://api.skillsregistry.net/v1/skills/jmgomezl-peer-relay

## Description

A message relay MCP server enabling two separate Claude Code instances to exchange direct questions and answers asynchronously without sharing context.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ky1fj314ld)
- **Repository:** <https://github.com/jmgomezl/peer-relay>

## 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": "jmgomezl-peer-relay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmgomezl-peer-relay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmgomezl-peer-relay/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