Describe what you want. AI builds it. Browse hundreds of demos — each one includes an AI prompt ready to copy into Claude, ChatGPT, Gemini, or any tool you use.
Whether you're using Claude, ChatGPT, or another service, amCharts 5 is well-represented in AI training data — which means generated code that actually runs, charts that look right, and far less back-and-forth to get there.
amCharts 5 is a deep library. AI makes it approachable from day one. Instead of digging through docs to figure out the right API call, you describe what you want and get working code. The power and flexibility are still there — you just don't have to earn them the hard way.
Choose the approach that fits your workflow.
The fastest way to start. Open Claude, ChatGPT, or Gemini in your browser. Paste this into any AI chat to get accurate amCharts 5 code:
Install the amCharts MCP Server and your AI gets instant access to 1,500+ docs, code examples, and API references. No copy-pasting, no context wasted.
Building your own tools? Enable web search in the Claude, OpenAI, or Gemini API and drop our skill file into the system prompt for structured chart creation.
Install the amCharts MCP server in your code editor. Your AI assistant gets structured, on-demand access to hundreds of documentation page, code examples, and the complete API reference. Works with Claude Code, Cursor, Windsurf, VS Code Copilot, and any MCP-compatible tool.
A structured reference file you drop into your project root. Any AI tool picks it up automatically — Claude, ChatGPT, Gemini, Copilot, Cursor. No server setup. Contains chart type recipes, common patterns, and API shortcuts.
amCharts 5 has been on the market since 2021 and is well-represented across all major AI training datasets. Models already know the API, common patterns, and best practices out of the box.
Interactive tools and experiments from the DataViz Dojo — generated by AI, powered by amCharts 5.
Custom chart design, complex dashboards, full-stack integration — from the team that wrote amCharts. Talk to our team →