Chart Canvas FAQs

Question 1

Can I query my local databases directly to create charts?

Accepted Answer

Absolutely. Chart Canvas includes a powerful `queryAndVisualize` tool that allows you to execute read-only SQL queries on your local SQLite databases. It then automatically transforms the query results into your chosen visualization type on the real-time dashboard.

Question 2

What is Chart Canvas and how does it work with AI?

Accepted Answer

Chart Canvas is an interactive visualization dashboard that works with AI assistants (via Model Context Protocol). It allows you to create real-time charts, diagrams, and tables directly from your AI conversations by processing natural language requests into dynamic visualizations.

Question 3

Is Chart Canvas easy to set up and integrate with existing tools?

Accepted Answer

Yes, Chart Canvas is designed for easy setup, requiring just a single command to install or run. It integrates seamlessly with MCP (Model Context Protocol) clients like Claude Desktop, allowing for quick configuration and immediate use with your AI assistant.

Question 4

What types of data sources and visualizations does Chart Canvas support?

Accepted Answer

Chart Canvas supports querying and visualizing data from various local file formats including SQLite, CSV, Parquet, JSON, and NDJSON. You can create line, bar, scatter, pie charts, tables, and complex Mermaid diagrams like flowcharts.

Question 5

How does Chart Canvas ensure data privacy and security?

Accepted Answer

Chart Canvas prioritizes data privacy by executing all data queries locally on your machine using DuckDB. This means your sensitive data never leaves your computer, isn't sent to LLMs, and remains entirely private during visualization.

Chart Canvas

Chart Canvas

Key Features

Use Cases

Key Features

Use Cases