Dremio-hosted MCP server

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Running analytics against a lakehouse usually means writing SQL by hand and separately tracking which jobs, catalogs, and engines are actually doing the work. With Dremio connected, Neotask's agent can run SQL queries directly against a Dremio Cloud lakehouse and manage the jobs, catalogs, and engines involved, so a data question turns into a query the agent runs and reports back on rather than something you write and execute yourself. It also helps explore and govern the data sources connected to Dremio, which matters as more AI-agent workflows start reading from the same lakehouse.

• Run SQL queries directly against a Dremio Cloud lakehouse
• Manage jobs, catalogs, and engines instead of tracking them manually
• Explore and govern connected data sources for analytics and AI-agent workflows

What you can automate

Dremio-hosted MCP server

Run SQL queries and manage jobs, catalogs, and engines across a Dremio Cloud lakehouse. Explore and govern data sources connected to Dremio for analytics and AI-agent workflows.

Real workflows

Answer a data question with a real query

Ask a question about the data in plain language; the agent writes and runs the SQL against Dremio and reports the result.

Frequently asked questions

Do I need to write the SQL myself?

No — describe the question and the agent runs the SQL query against Dremio for you.

Can it help manage the lakehouse itself, not just query it?

Yes, it can also manage jobs, catalogs, and engines and help govern connected data sources.