DuckDB
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
About
DuckDB bridges the gap between AI assistants and the robust analytical capabilities of DuckDB, a high-performance analytical database. Leveraging the Model Context Protocol (MCP), it allows AI models to query data directly from diverse sources like CSV, Parquet, and cloud storage (S3, etc.), perform sophisticated data analysis using SQL, and generate insightful data summaries with context and understanding.
Key Features
- Offers built-in DuckDB SQL and data import references for AI assistants.
- Provides seamless AWS/S3 credential management.
- Enables SQL query execution with DuckDB's syntax.
- Supports querying data from local files (CSV, Parquet, JSON, etc.) and cloud storage (S3 buckets).
- Automatically manages database file creation and connection handling.
- 5 GitHub stars
Use Cases
- Query daily user signups from analytics data stored in S3 buckets.
- Provide AI assistants with the ability to access and analyze data without complex setup.
- Analyze sales data loaded from a CSV file to identify top-performing products.