Amcharts 5 Mcp Server

@amcharts

About Amcharts 5 Mcp Server

MCP server that gives AI assistants on-demand access to 1,500+ amCharts 5 docs, 283 code examples, and 1,098 class API references.

#amcharts #charts #data-visualization #javascript #mcp #ai #code-generation #api-reference #examples #documentation

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "amcharts5": {
      "command": "npx",
      "args": [
        "-y",
        "@amcharts/amcharts5-mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Amcharts 5 Mcp Server?

An MCP server that gives AI assistants on‑demand access to the complete amCharts 5 knowledge base. Instead of loading everything into context upfront, the AI queries only what it needs – documentation pages, working code examples, and class API references.

How to use Amcharts 5 Mcp Server?

Install with npx -y @amcharts/amcharts5-mcp and add the server to your MCP‑compatible tool (Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + Copilot, or any MCP client). Then invoke the ten available tools to search, retrieve docs, browse examples, and fetch quick‑start templates.

Key features of Amcharts 5 Mcp Server

141 documentation pages covering every chart type and concept
283 working code examples across 16 categories
1,098 class API references with settings, properties, methods, and events
Curated skill files with quick‑start templates per chart family
10 specialised tools for search, retrieval, and browsing

Use cases of Amcharts 5 Mcp Server

An AI assistant helping a developer build a specific chart by fetching the exact reference
Quickly obtaining a minimal working template for any chart type
Searching across docs, examples, and API references with a single query
Browsing all code examples filtered by category to find relevant patterns
Retrieving a specific section from a large reference file without loading the whole page

FAQ from Amcharts 5 Mcp Server

What tools does the server provide?

Ten tools: search_all, get_doc, get_chart_reference, get_core_reference, list_chart_types, search_docs, get_section, get_quick_start, list_examples, and get_example.

How do I install the server?

Run npx -y @amcharts/amcharts5-mcp in your terminal. No additional configuration is required beyond adding it to your MCP client.

Which AI tools are compatible?

Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + Copilot, and any tool that supports the Model Context Protocol (MCP).

What is included in the knowledge base?

141 documentation pages, 283 working code examples (full JS/HTML/CSS), 1,098 class API references, and curated skill files.

Does the server load everything into context?

No. It is designed for on‑demand access – the AI queries only the information it needs, keeping context small and efficient.

Frequently asked questions

What tools does the server provide?

Ten tools: `search_all`, `get_doc`, `get_chart_reference`, `get_core_reference`, `list_chart_types`, `search_docs`, `get_section`, `get_quick_start`, `list_examples`, and `get_example`.

How do I install the server?

Run `npx -y @amcharts/amcharts5-mcp` in your terminal. No additional configuration is required beyond adding it to your MCP client.

Which AI tools are compatible?

Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + Copilot, and any tool that supports the Model Context Protocol (MCP).

What is included in the knowledge base?

141 documentation pages, 283 working code examples (full JS/HTML/CSS), 1,098 class API references, and curated skill files.

Does the server load everything into context?

No. It is designed for on‑demand access – the AI queries only the information it needs, keeping context small and efficient.

Comments

Basic information

More Developer Tools MCP servers

discoverGPT

Joe Monastiero

discoverGPT is visualAI's unified MCP gateway for AI commerce, exposing 29 tools across four capabilities on one canonical product catalog: trimodal search (natural-language, precise-color, and image-similarity), AI cata