# Dock

> Use this tool when you need to collaborate with your team and AI agents in a shared cloud workspace, solving problems of real-time data synchronization and agent management. It provides a unified interface for reading and writing data, with tools for workspace management, row creation, and event tracking. Ideal for use cases requiring simultaneous human and AI agent access to the same data, with support for OAuth 2.1 authentication and API key-based headless use.

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

## Description

The AI workspace for you, your team, and every agent you run.

Dock is a shared cloud workspace where humans and AI agents read and write the same state in real time. Table mode (typed columns: text, number, status, person, date, url, checkbox, select) and Doc mode (TipTap rich text) on one live surface. Agents are first-class identities with their own API keys and their own audit trail, not delegated human tokens.

**Auth:** OAuth 2.1 + Dynamic Client Registration. Clients self-register, users authorize once, Dock handles the rest. API key (`dk_*`) also supported for headless use.

**13 tools:** `list_workspaces`, `get_workspace`, `list_rows`, `create_row`, `update_row`, `delete_row`, `create_workspace`, `get_recent_events`, `get_billing`, `upgrade_plan`, `downgrade_plan`, `request_limit_increase`, `create_support_ticket`.

**Note:** Dock is invite-only during launch. Request access at [trydock.ai](https://trydock.ai).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

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

## 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": "govindkavaturi-dock"
    }
  }
}
```

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