# How to connect Databox to OpenClaw (paste one key, 7 tools)

> Connect Databox to OpenClaw with ClawLink: paste your Databox key once and 7 tools work from chat. No MCP server to run, nothing stored on your machine.

Web version: https://claw-link.dev/openclaw/databox

The usual route to Databox access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Databox setup: install one ClawHub skill, connect Databox in the browser, and OpenClaw can call real Databox actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.

## Setup

It takes three steps to connect OpenClaw to Databox.

1. **Install ClawLink** — add the plugin to OpenClaw once.
2. **Connect Databox** — one-click OAuth in the ClawLink dashboard.
3. **Use it from chat** — ask OpenClaw in plain English.

**Paste this into OpenClaw to set up ClawLink:**

> I want to connect my apps to OpenClaw through ClawLink.
> Please install the ClawLink plugin from ClawHub and enable it: `openclaw plugins install clawhub:clawlink-plugin`
> When it is installed, tell me and stop. After I reply, give me the ClawLink pairing link. Setup notes, if you need them: https://claw-link.dev/skill.md

**Alternative for any agent (no plugin needed):** if the OpenClaw plugin route isn't available or doesn't work, any AI agent with shell access can use the ClawLink CLI instead:

```bash
npx -y @useclawlink/cli login          # sign in via browser — no API key to paste
npx -y @useclawlink/cli connect databox  # connect Databox (browser OAuth)
npx -y @useclawlink/cli actions databox  # list available actions
npx -y @useclawlink/cli run databox <action> --input '<json>'  # execute (add --confirm for writes)
```

### Install by command

The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval:

```bash
openclaw plugins install clawhub:clawlink-plugin
```

Then ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say `done`. Finally, connect Databox in the [ClawLink dashboard](https://claw-link.dev/dashboard) — paste your Databox API key once.

Verify the connection by asking OpenClaw:

> Pull the relevant data from Databox, summarize it in plain English, and point out anything that needs attention.

### Using a different agent?

The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI:

```bash
npx -y @useclawlink/cli login
```

`login` opens the same browser approval and stores a credential locally. Once Databox is connected in the dashboard, that agent calls the same 7 Databox tools over MCP. Full setup for MCP clients and shell agents: [connect apps to any AI agent](https://claw-link.dev/learn/connect-apps-to-any-ai-agent).

## Databox MCP for OpenClaw

Looking for a Databox MCP server for OpenClaw? ClawLink connects Databox to OpenClaw and exposes 7 Databox tools your agent can call over [MCP](https://claw-link.dev/learn/what-is-an-mcp-server), with [hosted auth](https://claw-link.dev/learn/oauth-for-ai-agents) and nothing to run or maintain yourself. Using Hermes instead? The [Hermes Databox integration](https://claw-link.dev/hermes/databox) works the same way.

## What the OpenClaw Databox integration can do

7 Databox tools are ready for OpenClaw once the account is connected. The 5 below are the ones people reach for most; your agent can call all 7.

### 5 of 7 Databox tools for OpenClaw

| Tool | What it does |
|---|---|
| **Get dataset ingestion status** `databox_get_dataset_ingestion_status` | Check the status of a specific data ingestion for a dataset |
| **List accounts** `databox_list_accounts` | Retrieve all Databox accounts accessible to the authenticated user |
| **Create data source** `databox_create_data_source` | Create a new data source in Databox |
| **Create dataset** `databox_create_dataset` | Create a new dataset in Databox data source |
| **Push data v1** `databox_push_data_v1` | Push data points to a Databox dataset using the v1 API |

## Example prompts

**Get Dataset Ingestion Status**

> Pull the relevant data from Databox, summarize it in plain English, and point out anything that needs attention.

**List Accounts**

> List the relevant items in Databox, group them by priority, and recommend what OpenClaw should do next.

**Create Data Source**

> Create it in Databox for me, then confirm the important fields before you finish.

**Create Dataset**

> Create it in Databox for me, then confirm the important fields before you finish.

## ClawLink vs. building it yourself

The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Databox working from chat.

| | Manual | ClawLink |
|---|---|---|
| **Credential handling** | Collect, validate, store, and rotate the Databox API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Databox account becomes available to the agent without you building credential management. |
| **Ongoing maintenance** | You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Databox. | ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure. |
| **Agent usability** | You still need to expose the right Databox actions to the runtime in a format your agent can reliably use. | 7 tools for Databox are already exposed through ClawLink, so the agent can read and act from chat immediately. |

## ClawLink vs. Composio

Composio also exposes Databox to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Databox in the browser, and the 7 tools above work from chat. There is no SDK and no config file, and the Databox key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full [Composio alternatives](https://claw-link.dev/hub/composio-alternatives) comparison.

### OpenClaw installed the Databox skill but can't call the tools
The ClawHub skill teaches OpenClaw about Databox, but the calls run through the ClawLink plugin and your connected account. Make sure Databox is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.

### Connection succeeds but no tools appear
Reconnect Databox from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded.

### "Tool schema not loaded yet" error when calling Databox tools
Databox tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Databox call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again.

### Databox returns 403 or "permission denied" on one action while others work
Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs.

### API key setup works but results look incomplete
Double-check that the API key for Databox has the right scopes or account access. A valid key can still be too limited for some reads or writes.

### Is there a OpenClaw Databox integration?
Yes. ClawLink is the fastest way to connect OpenClaw to Databox: link your Databox account once in the browser and OpenClaw can call the Databox API through 7 ready-made tools — no custom code or token handling.

### How do I add Databox to OpenClaw with ClawLink?
Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Databox skill from ClawHub, then you click Connect in the dashboard to authorize Databox. OpenClaw calls the tools from the next message — no config files, and the Databox key you paste is stored server-side instead of in your environment.

### How long does it take to connect Databox to OpenClaw?
About two minutes. Sign in, click Connect next to Databox in the dashboard, authenticate, and OpenClaw can use it from the next chat message.

### Why use ClawLink instead of wiring Databox up myself?
The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Databox working from chat.

### OpenClaw installed the Databox skill but can't call the tools
The ClawHub skill teaches OpenClaw about Databox, but the calls run through the ClawLink plugin and your connected account. Make sure Databox is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.

## Related

- [PostHog](https://claw-link.dev/openclaw/posthog) — Track user behavior and feature flags
- [OpenClaw DataforSEO integration](https://claw-link.dev/openclaw/dataforseo) — SEO data APIs for keywords, SERP, and site audits
- [Metabase tools](https://claw-link.dev/openclaw/metabase) — Metabase is an open-source business intelligence tool that lets you ask questions about your data and visualize answers as charts, graphs, and dashboards.
