DuckDB is an in-process SQL OLAP database management system designed for analytical queries with a simple, embeddable architecture that supports various programming languages and platforms.
Why this server?
Uses DuckDB as the backend database for storing knowledge graph data, leveraging its fast query processing, SQL interface, and transaction support for efficient storage and retrieval of entities, observations, and relations.
Why this server?
Enables SQL queries against blockchain data through DuckDB, supporting data exploration, schema inspection, and complex analytics on downloaded blockchain datasets with various filtering and aggregation capabilities.
Why this server?
Integrates with local DuckDB to provide SQL analytics capabilities and allow querying data from local databases
Why this server?
Supports working with DuckDB as a database backend for dbt projects, as shown in the profiles.yml example.
Why this server?
Supports connecting to DuckDB databases to explore tables, access schema information, and perform read-only SQL queries with safety measures.
Why this server?
Provides database interaction capabilities with DuckDB through MCP tools, allowing for operations like querying, table creation, and schema inspection
Why this server?
The project acknowledges being based on code from DuckDB MCP Server, indicating similar querying capabilities or implementation patterns
Why this server?
Enables querying Parquet files through DuckDB, providing data analysis capabilities on structured files
Why this server?
Used for TimeVault persistent storage and analytics through DuckDB WASM-based engine, allowing querying capabilities with filtering and statistical analysis of encrypted data