# Octopad

> Use this tool when you need to manage and coordinate multiple AI agents, share knowledge and context, and assign tasks across your team. Octopad solves the problem of AI agent collaboration and information silos by providing a centralized back-office workspace. It takes in tasks, knowledge, and context as inputs and outputs a unified workspace for AI-driven team productivity.

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

## Description

The back-office workspace for your team's AIs: tasks, knowledge and context shared over MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.octopad%2Foctopad)

## Use it

MCP endpoint published by the skill: `https://mcp.octopad.app/mcp`

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": "app-octopad-octopad"
    }
  }
}
```

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