Mcp Server Chart
🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation
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About
MCP Server Chart
A Model Context Protocol server for generating charts using AntV. We can use this mcp server for _chart generation_ and _data analysis_.
](https://github.com/antvis/mcp-server-chart/actions/workflows/build.yml) [ ](https://www.npmjs.com/package/@antv/mcp-server-chart) [ [](https://smithery.ai/servers/antvis/mcp-server-chart)
This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify.
📋 Table of Contents
- ✨ Features
- 🤖 Usage
- 🎨 Skill Usage
- 🚰 Run with SSE or Streamable transport
- 🎮 CLI Options
- ⚙️ Environment Variables
- VIS_REQUEST_SERVER
- SERVICE_ID
- DISABLED_TOOLS
- 📠 Private Deployment
- 🗺️ Generate Records
- 🎛️ Tool Filtering
- 🔨 Development
- 📄 License
✨ Features
Now 26+ charts supported.
Don't lose this
Three weeks from now, you'll want Mcp Server Chart again. Will you remember where to find it?
Save it to your library and the next time you need Mcp Server Chart, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. 🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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