# Commune

> Use this tool when you need to establish a persistent identity for AI agents in the real world, enabling them to send, receive, and manage communications at scale. Commune solves problems related to agent communication, such as outbound messaging and complex conversation workflows, by providing a real email address, phone number, and infrastructure. It is ideal for use cases requiring scalable and managed communications, with inputs including message content and recipient information, and outputs including sent and received communications.

Canonical page: https://skillsregistry.net/skills/commune-dev-commune  
JSON: https://api.skillsregistry.net/v1/skills/commune-dev-commune

## Description

Commune gives AI agents a persistent identity in the real world — a real email address, a real phone number, and the full infrastructure to send, receive, and manage communications at any scale. From a single outbound message to complex multi-agent conversation workflows, Commune is the communication layer agents are built on.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/commune-dev/commune)

## 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": "commune-dev-commune"
    }
  }
}
```

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