# Databox — MCP server on mcp.ai
> Connect your Databox account and use 7 tools for analytics straight from your AI agent. Connect with your own API key. Connect your data from any tool and track it from any device. Build and share reports, monitor trends, and discover insights.

By: mcp.ai · official
Page: https://mcp.ai/databox

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_databox?ms=1787296080000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/databox/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/databox/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/databox/skill.md
Postman collection (v2.1): https://mcp.ai/databox/postman.json

## Tools
- databox_create_data_source(title: string, timezone: string, accountId: integer) — Tool to create a new data source in Databox. Use when you need to create a logical container for datasets within a Databox account. Requires accountId, title, and timezone parameters.
- databox_create_dataset(title: string, primaryKeys: string[], dataSourceId: integer) — Tool to create a new dataset in Databox data source. Use when you need to initialize a dataset with a title, data source ID, and primary keys for unique record identification.
- databox_delete_data_source(dataSourceId: integer) — Tool to delete a data source by ID in Databox. Use when you need to permanently remove a data source. This operation is irreversible and will delete all associated datasets.
- databox_delete_dataset(datasetId: string) — Tool to delete a dataset by ID in Databox. Use when you need to permanently remove a dataset. This operation is irreversible.
- databox_get_dataset_ingestion_status(datasetId: string, ingestionId: string) — Tool to check the status of a specific data ingestion for a dataset. Use when you need to verify whether a data ingestion was successful by providing the dataset ID and ingestion ID returned from the 
- databox_list_accounts() — Tool to retrieve all Databox accounts accessible to the authenticated user. Use to identify account IDs required for subsequent API operations like data source creation.
- databox_push_data_v1(records: object[], datasetId: string) — Tool to push data points to a Databox dataset using the v1 API. Use when you need to ingest data records into a specific dataset by providing the dataset ID and an array of records matching the datase

## Example prompts
- "What can I do in Databox?"
- "Show me a summary of my Databox account"

## Links
Docs: https://mcp.ai/docs/mcps/databox
Website: https://mcp.ai/mcps/databox