> **Building with AI coding agents?** Install the authstack plugin with one command. This equips your agent with accurate Scalekit implementation patterns.
>
> **Recommended**:
> ```bash
> npx @scalekit-inc/cli setup
> ```
>
> Global:
> ```bash
> npm install -g @scalekit-inc/cli
> scalekit setup
> ```
>
> Supports Claude Code, Cursor, GitHub Copilot, Codex + skills for 40+ agents.
> Features: full-stack-auth, agent-auth, mcp-auth, modular-sso, modular-scim.
> [Full setup guide](https://docs.scalekit.com/dev-kit/build-with-ai/)

---

# Databox MCP connector

1. ### Install the SDK

   ```bash frame="terminal"
       npm install @scalekit-sdk/node
       ```
     ```bash frame="terminal"
       pip install scalekit
       ```
     Full SDK reference: [Node.js](/agentkit/sdks/node/) | [Python](/agentkit/sdks/python/)

2. ### Set your credentials

   <AgentKitCredentials />

3. ### Authorize and make your first call

   <QuickstartGenericOauthSection connector="databoxmcp" toolName="databoxmcp_get_current_datetime" providerName="Databox MCP" />

## What you can do

Connect this agent connector to let your agent:

- **Data load metric, ingest** — Retrieve data points for a Databox metric over a date range with optional time-series granulation and dimension breakdown
- **List metrics, merged datasets, data sources** — List all metrics available for a Databox data source, including metric keys, names, descriptions, and available dimensions
- **Get ingestion, dataset ingestions, current datetime** — Get detailed information for a specific ingestion event, including status, timestamps, dataset metrics, and per-record ingestion outcomes
- **Delete dataset, data source** — Permanently delete a dataset and all its data from Databox
- **Create dataset, data source** — Create a structured dataset within a Databox data source, optionally defining a column schema and primary keys for tabular data storage
- **Genie ask** — Ask Genie, the Databox AI data analyst, to explore and analyze a dataset using natural language

## Tool list

Use the exact tool names from the **Tool list** below when you call `execute_tool`. If you're not sure which name to use, list the tools available for the current user first.

<ToolList tools={tools} />

---

## More Scalekit documentation

| Resource | What it contains | When to use it |
|----------|-----------------|----------------|
| [/llms.txt](/llms.txt) | Structured index with routing hints per product area | Start here — find which documentation set covers your topic before loading full content |
| [/llms-full.txt](/llms-full.txt) | Complete documentation for all Scalekit products in one file | Use when you need exhaustive context across multiple products or when the topic spans several areas |
| [sitemap-0.xml](https://docs.scalekit.com/sitemap-0.xml) | Full URL list of every documentation page | Use to discover specific page URLs you can fetch for targeted, page-level answers |