Neotask이 MotherDuck 클라우드 분석 데이터베이스에 대화식 인터페이스를 제공합니다 - 데이터베이스를 일반 언어로 쿼리하고, Dive를 관리하며, 데이터 카탈로그를 탐색합니다.
MotherDuck 데이터베이스를 일반 영어로 쿼리하고 즉시 결과를 얻습니다 - SQL 작성 불필요
대화로 분석 Dive를 생성, 관리, 공유하여 인사이트를 누구나 접근 가능하게 합니다
Neotask을 통해 데이터 카탈로그를 탐색하고, 스키마를 검색하며, 공유 목록을 확인합니다
할 수 있는 것
With 13 actions, Neotask's MotherDuck integration gives you a complete conversational interface over your cloud analytics platform.
쿼리 실행
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
모든 액션은 자율적으로 실행되거나 승인을 요청합니다 - 여러분이 결정합니다.
이렇게 물어보세요
"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?"
프로 팁
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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Microsoft To Do - Connect Microsoft To Do with MotherDuck to analyze task data using DuckDB analytics. Automate workflows and gain insight...
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