Execute SQL queries on CSV or Parquet sources using DuckDB syntax via the Zaturn MCP server, returning results as a dataframe for analysis and visualization.
Visualize SQL query results as line plots on Zaturn. Input source ID, query, and axis columns; generate plots directly from CSV or Parquet data sources using DuckDB SQL syntax.
Analyze and visualize data distributions by generating histograms from SQL queries on CSV or Parquet sources using DuckDB syntax. Ideal for exploring columnar data patterns with optional color grouping and bin customization.
Generate example SQL queries for blockchain datasets using DuckDB. Streamline querying and schema inspection for Ethereum data with workflow tips. Enhance efficiency in blockchain data analysis.
A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities through MCP tools. It would be interesting to have LLM analyze it. DuckDB is suitable for local analysis.
Enables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.
A Model Context Protocol server implementation that connects AI assistants to DuckDB, enabling them to query and analyze data from various sources including CSV, Parquet, JSON, and cloud storage through SQL.