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MCP SERVER · OFFICIAL PROJECT

Basedash Data Questions

by Basedash

Two tools: list the workspace's data sources, and ask a plain-English question that comes back as validated SQL and numbers.

Data Platform: Pipelines, Warehousing, BI & GovernanceOfficial source
Summary
Per-call permission enforcement is what makes a two-tool answer engine safe to point at a warehouse.

The risk with natural-language SQL is not a bad query — it is a query against data the asker should not see. Checking workspace permissions on every call, rather than trusting the token issued at connect time, closes that. The narrow surface is a feature too: nothing here can write, and get_data_sources tells the agent what is reachable before it starts guessing table names.

What it is

Basedash's public endpoint. The surface is deliberately tiny — one tool to see what data exists, one to ask about it — with their AI analyst generating and validating the SQL behind the scenes.

What you get
  • ask_question — a plain-English data question, answered with numbers, charts and the reasoning behind the query
  • get_data_sources — every connected database, warehouse and SaaS source the user is allowed to see
Requirements

Browser OAuth on first connection, with a scoped token per client and no API keys anywhere. Workspace permissions are enforced on every call rather than at connection time.

Setup effort

Paste a URL, then authorize — add the endpoint to your client, then approve the OAuth consent screen