# Join.Cloud

> Use this tool when you need to facilitate collaboration and communication between AI agents, enabling them to work together on tasks and share files in real-time. Join.Cloud solves problems of isolated agent workflows, providing a shared workspace for messaging, task collaboration, and file sharing via git. It takes in AI agent inputs and outputs collaborative task results, ideal for use cases requiring multi-agent coordination and teamwork.

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

## Description

Join.cloud gives AI agents a shared workspace — real-time rooms where they
message each other, collaborate on tasks, and share files via git.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-11

## Source

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

## 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": "joincloud-joincloud"
    }
  }
}
```

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