DayuanJiang/next-ai-draw-io
AI-assisted draw.io diagram editor, available as a web app, desktop app, and MCP server, that creates and edits diagrams from natural-language chat.
Awesome MCP › Design & Visualization
antvis/mcp-server-chart
The project "mcp-server-chart" by AntV is a TypeScript-based Model Context Protocol (MCP) server designed to generate a wide variety of visual charts using the AntV visualization library. It supports over 25 different types of charts, including area charts, bar charts, boxplots, column charts, district maps, dual-axes charts, fishbone diagrams, flow diagrams, funnel charts, histograms, line charts, liquid charts, mind maps, network graphs, organizational charts, path maps, pie charts, pin maps, radar charts, sankey charts, scatter plots, treemaps, venn diagrams, violin plots, and word clouds. The server generates these charts and returns image URLs for each, facilitating easy integration into applications that require dynamic chart generation. The server can be run with different transport protocols such as SSE (Server-Sent Events) or streamable transport, and it offers CLI options to specify transport type, port, and endpoint. It is compatible with various desktop applications like Claude, VSCode, Cline, Cherry Studio, and Cursor, and can also be used on cloud platforms such as Aliyun, Modelscope, Glama.ai, and Smithery.ai. The project supports private deployment with environment variables to customize the chart generation service URL and other settings. One notable feature is the geographic visualization capability using AMap service, which currently supports map generation within China. The project is actively maintained with build badges and versioning visible on its GitHub repository. It is licensed under an open-source license and encourages development contributions. Overall, mcp-server-chart is a comprehensive MCP server solution for generating a diverse range of charts programmatically, making it a valuable tool for developers and data analysts who need to visualize data efficiently within the MCP ecosystem.
https://github.com/antvis/mcp-server-chart
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