Neotask puts a conversational interface on your MotherDuck cloud analytics - query DuckDB databases, manage Dives, and share analytical work through conversation.
Query your MotherDuck databases in plain English and get results instantly - no SQL required, no waiting for a data analyst
Create, manage, and share analytical Dives through conversation so insights are reproducible and accessible across your team
Explore your data catalog, search schemas, and list shares through Neotask so you always know what data you have and where it lives
What You Can Do
With 13 actions, Neotask's MotherDuck integration gives you a complete conversational interface over your cloud analytics platform.
Query Execution
query - Run read-only SQL queries and get results through conversation
query_rw - Execute read-write queries including INSERT, UPDATE, CREATE TABLE
Catalog & Discovery
list_databases - List all databases in your MotherDuck account
search_catalog - Search across your data catalog by table name, column, or description
Documentation
ask_docs_question - Get answers to DuckDB and MotherDuck documentation questions
Sharing
list_shares - List data shares available to your account
Dives (Saved Analytics)
get_dive_guide - Get guidance on creating analytical Dives
save_dive - Save an analytical exploration for reuse
read_dive - Retrieve a saved Dive
update_dive - Modify a saved Dive
delete_dive - Remove a Dive
list_dives - Browse all saved Dives
share_dive_data - Share a Dive with collaborators
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Query our sales database: total revenue by region for Q1 2026 compared to Q1 2025"
"What tables exist in our analytics database and what do they contain?"
"Create a new table in MotherDuck called 'monthly_churn' and load it from this CSV data"
"Save this revenue analysis as a Dive called 'Q1 2026 Revenue by Region' and share it with the finance team"
"Search our data catalog for any tables that contain customer email data"
"Run this DuckDB query and explain what it returns: SELECT * FROM parquet_scan('s3://...')"
"List all our saved Dives and show me which ones haven't been updated in 90 days"
"What shares are available in our account that I haven't queried yet?"
Pro Tips
Schedule automated business reports that run MotherDuck queries on a morning cadence and post results to Slack - daily data briefings without analyst involvement.
Enable approval gates on query_rw - write queries that modify your MotherDuck data deserve human confirmation before execution.
Connect MotherDuck with your data ingestion pipeline in an app group: when new data arrives in S3, agents automatically load it into MotherDuck and update relevant Dives.
Use Dives for reproducible analysis: when an agent discovers an interesting insight, it saves a Dive so any team member can reproduce and build on the finding.
Multi-agent teams can build complete analytics workflows: one agent queries raw data, another transforms it, and a third creates a shareable Dive with the final analysis.
Multiple workspaces and capacity for larger teams.
Works Well With
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