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Tool connections (MCP)

AntV MCP Server Chart

antvis/mcp-server-chart

Let AI turn data into line charts, bar charts, and diagrams.

View source code ↗Setup and usage guide ↗

Introduction

Prepared by 今日热榜 from public project documentation

This AntV connector gives an AI assistant chart-generation tools for reports, analysis, and presentations. It supports multiple chart and diagram types. Prepare Node.js and connect an MCP-compatible assistant. By default, chart data is sent to the project's online rendering service; use the documented private-service configuration when data should stay within your environment. Some geographic chart tools have additional private-deployment limits.

Ways to use it

  • Generate line charts, bar charts, and other data visuals
  • Create flow and relationship diagrams
  • Choose the online or a self-hosted rendering service

The project’s original description

🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

More projects of this type

These other listed projects can help you compare use cases and setup requirements.

  • MarkItDown MCP — Let AI convert PDF, Word, and spreadsheet files into text it can work with.
  • Context7 — Give AI current library documentation and examples before it writes code.
  • Chrome DevTools MCP — Let AI inspect Chrome pages to investigate errors and loading performance.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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