Summary

MCP ECharts dynamically generates Apache ECharts visualizations using an AI model (MCP), targeting developers and data analysts. It offers automated chart creation integrated with AI workflows, providing a secure, locally-processed solution that fully supports ECharts' extensive features, streamlining complex chart generation.

How It Works

This tool uses an AI model (MCP) to interpret chart requests and generate ECharts configurations, supporting all ECharts features like data, styling, and themes. A key advantage is local generation for enhanced security. Optional MinIO integration allows charts to be stored and retrieved via URLs instead of Base64 data, improving performance and shareability.

Quick Start & Requirements

• Prerequisites: Node.js 18+.
• Installation: npm install -g mcp-echarts.
• Running: Start server with mcp-echarts -t sse (default /sse) or mcp-echarts -t streamable (default /mcp), port 3033.
• Desktop Apps: Requires mcpServers config in apps like VSCode, Claude.
• MinIO: Optional; configure via environment variables for cloud providers or local setup.

Highlighted Details

• Full ECharts compatibility (data, style, theme).
• Exports to PNG, SVG, and ECharts option formats.
• Includes validation for ECharts syntax and graphics.
• MinIO integration stores charts as URLs (fallback to Base64).
• Secure, local generation without remote services.

Maintenance & Community

Contributors include hustcc, lyw405, 2niuhe, susuperli, BQXBQX, and Meet-student, focusing on core features, AI integration, MinIO, and performance enhancements. No specific community channels or roadmap links are provided.

Licensing & Compatibility

Released under the MIT License, which is permissive for commercial use and integration into closed-source applications.

Limitations & Caveats

Charts default to Base64 output if MinIO is not configured, which may be less efficient. Requires Node.js 18+.