# Claude Peers

> Use this tool when you need to enable multiple Claude Code sessions to discover and communicate with each other on the same machine, solving collaboration and data sharing problems. It provides a local broker daemon with a SQLite database, allowing peers to register, list other peers, send instant messages, and share work summaries. Ideal for use cases requiring seamless communication and coordination between multiple code sessions on a single machine.

Canonical page: https://skillsregistry.net/skills/louislva-claude-peers  
JSON: https://api.skillsregistry.net/v1/skills/louislva-claude-peers

## Description

Lets multiple Claude Code sessions on the same machine find each other and communicate through a local broker daemon running on localhost with a SQLite database. Each session registers as a peer and can list other peers, send messages that arrive instantly via the channel protocol, and set summaries of current work. The broker auto-launches on first use and cleans up dead peers automatically.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/louislva-claude-peers)
- **Repository:** <https://github.com/louislva/claude-peers-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": "louislva-claude-peers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/louislva-claude-peers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/louislva-claude-peers/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