Chart Canvas
Create interactive visualizations and query data sources (SQLite, CSV, Parquet, JSON)
What is Chart Canvas?
Chart Canvas is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to create interactive visualizations and query data sources (sqlite, csv, parquet, json)
Create interactive visualizations and query data sources (SQLite, CSV, Parquet, JSON)
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Create interactive visualizations and query data sources (SQ
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @gluip/chart-canvas-mcpManual Installation
npx -y @gluip/chart-canvas-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Chart Canvas
What is Chart Canvas?
Chart Canvas is a Model Context Protocol (MCP) server that create interactive visualizations and query data sources (sqlite, csv, parquet, json) It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Chart Canvas?
Install via npm with the command: npx -y @gluip/chart-canvas-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Chart Canvas?
Chart Canvas works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Chart Canvas free to use?
Yes, Chart Canvas is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Chart Canvas in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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