mcp-server-chart-minio and mcp-server-antv

The two projects are ecosystem siblings, where `antvis/mcp-server-antv` appears to be a core server for AntV visualization development, while `zaizaizhao/mcp-server-chart-minio` provides a private deployment solution for such a server, potentially a specific implementation or extension of the MCP Server concept.

mcp-server-chart-minio
51
Established
mcp-server-antv
46
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 15/25
Community 18/25
Maintenance 10/25
Adoption 7/25
Maturity 15/25
Community 14/25
Stars: 48
Forks: 13
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 36
Forks: 6
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Package No Dependents

About mcp-server-chart-minio

zaizaizhao/mcp-server-chart-minio

mcp-server-chart私有化部署方案

This project helps generate over 22 different types of charts and diagrams, from basic line graphs to complex Sankey diagrams and organization charts. You provide your data, and the service renders the chart as an image, automatically storing it and giving you a direct link. It's designed for data analysts, business intelligence specialists, or operations managers who need to create many visual reports without manual effort or client-side rendering.

data-visualization business-intelligence reporting data-analysis operations-management

About mcp-server-antv

antvis/mcp-server-antv

🧑🏻‍💻 MCP Server for @antvis visualization development, which provides documentation context and examples for visualization developers.

This tool helps developers quickly build data visualizations using AntV libraries like G2, G6, and F2. It takes your high-level visualization needs and generates relevant code examples and documentation from the latest AntV APIs. This is designed for front-end or full-stack developers who create interactive charts, graphs, and mobile visualizations.

visualization-development front-end-development charting-libraries UI-development web-development

Scores updated daily from GitHub, PyPI, and npm data. How scores work