amCharts 5 MCP Server
chính thứcMCP server that gives AI assistants on-demand access to 1,500+ amCharts docs, ~300 code examples, and 1000+ class API references.
amCharts 5 MCP Server
An MCP (Model Context Protocol) server that gives AI assistants on-demand access to the complete amCharts 5 knowledge base: 140+ documentation pages, 280+ code examples, and 1,000+ class API references.
Works with Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + GitHub Copilot, and any other MCP-compatible AI tool.
Why?
Instead of loading the entire amCharts reference into the AI's context window, the MCP server lets the AI query exactly what it needs — a specific chart type reference, a code example, or an API lookup. This means better answers with less context waste.
Quick Start
Claude Code
For all projects (global, recommended):
claude mcp add -s user amcharts5 -- npx -y @amcharts/amcharts5-mcp
For current project only:
claude mcp add amcharts5 -- npx -y @amcharts/amcharts5-mcp
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"amcharts5": {
"command": "npx",
"args": ["-y", "@amcharts/amcharts5-mcp"]
}
}
}
Cursor
Create or edit .cursor/mcp.json in your project root (or ~/.cursor/mcp.json for global):
{
"mcpServers": {
"amcharts5": {
"command": "npx",
"args": ["-y", "@amcharts/amcharts5-mcp"]
}
}
}
Windsurf
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"amcharts5": {
"command": "npx",
"args": ["-y", "@amcharts/amcharts5-mcp"]
}
}
}
VS Code + GitHub Copilot
Create or edit .vscode/mcp.json in your workspace:
{
"servers": {
"amcharts5": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@amcharts/amcharts5-mcp"]
}
}
}
Other MCP-compatible tools
For any other tool that supports MCP (Cline, Continue, Amazon Q, Zed, etc.), configure it to run:
npx -y @amcharts/amcharts5-mcp
Run locally (for development)
git clone https://github.com/amcharts/amcharts5-mcp.git
cd amcharts5-mcp
npm install
npm start
Available Tools
| Tool | Description |
|---|---|
get_core_reference | Get core amCharts 5 docs — setup, themes, colors, events, common pitfalls |
get_chart_reference | Get full reference for a chart type (e.g. "pie", "sankey", "xy") |
list_chart_types | List all available chart types and their keywords |
search_docs | Search the skill reference docs by keyword |
search_all | Search across everything — skill docs, full documentation, and code examples |
get_doc | Get a full documentation page (e.g. "charts/xy-chart/axes", "concepts/events") |
get_section | Get a specific section from a reference file by heading |
get_quick_start | Get a minimal working template for any chart type |
list_examples | Browse all 283 examples, optionally filtered by category |
get_example | Get the full code for a specific example |
Example Usage
Once connected, your AI assistant can:
- "Build me a pie chart" → AI calls
get_quick_start("pie")and adapts the template - "How do I format date axis labels?" → AI calls
search_all("date axis label format") - "Show me the Sankey diagram example" → AI calls
get_example("examples/flow/sankey-diagram") - "What settings does XYChart support?" → AI calls
get_doc("reference/xychart") - "How do I integrate with React?" → AI calls
get_doc("getting-started/integrations/react") - "What chart types are available?" → AI calls
list_chart_types()
Content
The server includes 1,500+ documents:
- 140+ documentation pages — getting started, chart guides, concepts (themes, events, adapters, data binding, animations, accessibility, etc.), and framework integration guides (React, Angular, Vue, Next.js, Svelte, and more)
- 280+ code examples — working demos across 16 categories including column/bar, line/area, pie/donut, maps, hierarchy, flow, radar/polar, stock, gauges, Gantt, timeline, and more
- 1,000+ class API references — every class in the amCharts 5 library with its settings, properties, methods, events, and inheritance chain
- Curated skill reference — quick-start templates and chart-specific guides from the amCharts 5 AI Skill
License
MIT
Máy chủ liên quan
Alpha Vantage MCP Server
nhà tài trợAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
302AI Image
A Model Context Protocol server for generating images using the 302AI API.
GraphQL Schema
Exposes GraphQL schema information to LLMs, allowing them to explore and understand the schema using specialized tools.
OpenAPI Invoker
Invokes any OpenAPI specification through a Model Context Protocol (MCP) server.
Rubber Duck MCP
A tool that applies rubber duck debugging techniques to AI development environments.
Julia Documentation MCP Server
An MCP server for accessing Julia documentation and source code.
mcpcodeserver
Instead of direct calling MCP tools, mcpcode server transforms MCP tool calls into TypeScript programs, enabling smarter, lower-latency orchestration by LLMs.
WireMCP
Empowers LLMs with real-time network traffic analysis using tshark. Requires Wireshark's tshark to be installed.
ClipToWSL
Enables AI coding agents to read Windows clipboard contents, including text and images, from within the Windows Subsystem for Linux (WSL).
CoinAPI MCP Server
Access real-time and historical crypto market data from CoinAPI’s MCP server, built for developers and AI agents needing reliable, unified market coverage.
Accordo MCP Server
Provides dynamic YAML-driven workflow guidance for AI coding agents with structured development workflows, progression control, and decision points.