Databox MCP is a [Model Context Protocol](https://modelcontextprotocol.io/) server that connects your business data to AI assistants. Ask questions
Databox MCP is a Model Context Protocol server that connects your business data to AI assistants. Ask questions about your metrics in plain English—no SQL, no dashboard building, no data exports. The databox mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 14 defined tools rather than through you.
Databox MCP enables AI tools like Claude, Cursor, n8n, and Gemini CLI to access and analyze your Databox data conversationally. It transforms how you interact with business metrics—instead of navigating dashboards, you simply ask questions and get instant answers.
Everything the assistant can do here goes through one of these:
Cursor — Add the Databox MCP server in Cursor's MCP settings with the URL https://mcp.databox.com/mcplist_accounts — List all Databox accounts accessible to the authenticated userlist_data_sources — The list_data_sources tool exposed by this servercreate_data_source — The create_data_source tool exposed by this serverdelete_data_source — Permanently remove a data source and all its associated datasets. Cannot be undonelist_data_source_datasets — The list_data_source_datasets tool exposed by this serverDatasets — The Datasets tool exposed by this servercreate_dataset — Create a new dataset within a data source, with an optional schemaingest_data — The ingest_data tool exposed by this serverget_dataset_ingestions — The get_dataset_ingestions tool exposed by this serverget_ingestion — Get detailed information for a specific ingestion event, including record counts and dataset metricsdelete_dataset — Permanently remove a dataset and all its data. Cannot be undoneBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Databox MCP's toolset — Cursor, list_accounts, list_data_sources and 11 more — is a fair guide to whether it matches your workflow. It is maintained by databox; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Databox MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Cursor | Add the Databox MCP server in Cursor's MCP settings with the URL https://mcp.databox.com/mcp. |
| list_accounts | List all Databox accounts accessible to the authenticated user. |
| list_data_sources | The list_data_sources tool exposed by this server. |
| create_data_source | The create_data_source tool exposed by this server. |
| delete_data_source | Permanently remove a data source and all its associated datasets. Cannot be undone. |
| list_data_source_datasets | The list_data_source_datasets tool exposed by this server. |
| Datasets | The Datasets tool exposed by this server. |
| create_dataset | Create a new dataset within a data source, with an optional schema. |
| ingest_data | The ingest_data tool exposed by this server. |
| get_dataset_ingestions | The get_dataset_ingestions tool exposed by this server. |
| get_ingestion | Get detailed information for a specific ingestion event, including record counts and dataset metrics. |
| delete_dataset | Permanently remove a dataset and all its data. Cannot be undone. |
| list_merged_datasets | List all merged datasets for a specific account. Merged datasets combine data from multiple sources. |
| Metrics | The Metrics tool exposed by this server. |
{
"mcpServers": {
"databox": {
"type": "http",
"url": "https://mcp.databox.com/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.