Command Palette

Search for a command to run...

UnylyUnyly
Browse all

hustcc/mcp-echarts

FreeNot checked

Generate visual charts using [Apache ECharts](https://echarts.apache.org) with AI MCP dynamically.

GitHubEmbed

About

Generate visual charts using Apache ECharts with AI MCP dynamically.

README

Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map.

mcp-echarts
award

✨ Features

  • Fully support all features and syntax of ECharts, include data, style, theme and so on.
  • Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.
  • MinIO Integration, store charts in MinIO object storage and return URLs instead of Base64 data for better performance and sharing capabilities.
  • Lightweight, we can install it easily with zero dependence.
  • Extremely secure, fully generated locally, without relying on any remote services.

🤖 Usage

Prerequisites

  • Node.js 18 or higher is required.

Desktop Applications (stdio transport)

To use with Desktop APP, such as Claude, VSCode, Cline, Cherry Studio, and so on, add the MCP server config below. On Mac system:

{
  "mcpServers": {
    "mcp-echarts": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

On Window system:

{
  "mcpServers": {
    "mcp-echarts": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

Also, you can use it on modelscope, glama.ai, smithery.ai or others with HTTP, SSE Protocol.

🚰 Run with SSE or Streamable transport

Install the package globally.

npm install -g mcp-echarts

Run the server with your preferred transport option:

# For SSE transport (default endpoint: /sse)
mcp-echarts -t sse

# For Streamable transport with custom endpoint
mcp-echarts -t streamable

Then you can access the server at:

  • SSE transport: http://localhost:3033/sse
  • Streamable transport: http://localhost:3033/mcp

🎮 CLI Options

You can also use the following CLI options when running the MCP server. Command options by run cli with -h.

MCP ECharts CLI

Options:
  --transport, -t  Specify the transport protocol: "stdio", "sse", or "streamable" (default: "stdio")
  --port, -p       Specify the port for SSE or streamable transport (default: 3033)
  --endpoint, -e   Specify the endpoint for the transport:
                    - For SSE: default is "/sse"
                    - For streamable: default is "/mcp"
  --help, -h       Show this help message

🗂️ MinIO Configuration (Optional)

For better performance and sharing capabilities, you can configure MinIO object storage to store chart images as URLs instead of Base64 data.

[!NOTE] If MinIO is not configured or unavailable, the system automatically falls back to Base64 data output, ensuring compatibility.

We can Integrate with MinIO object storage providers below.

Also, we can setup MinIO locally for free.

  1. Install and start MinIO locally:

    # Download MinIO (macOS example)
    brew install minio/stable/minio
    
    # Start MinIO server
    minio server ~/minio-data --console-address :9001
    
  2. Configure environment variables:

    # Copy the example environment file
    cp .env.example .env
    
    # Edit .env with your MinIO settings
    MINIO_ENDPOINT=localhost
    MINIO_PORT=9000
    MINIO_USE_SSL=false
    MINIO_ACCESS_KEY=minioadmin
    MINIO_SECRET_KEY=minioadmin
    MINIO_BUCKET_NAME=mcp-echarts
    

🔨 Development

Install dependencies:

npm install

Build the server:

npm run build

Start the MCP server:

npm run start

🧑🏻‍💻 Contributors

  • lyw405: Supports 15+ charting MCP tool. #2
  • 2niuhe: Support MCP with SSE and Streaming HTTP. #17
  • susuperli: Use MinIO to save the chart image base64 and return the url. #10
  • BQXBQX: Use @napi-rs/canvas instead node-canvas. #3
  • Meet-student: Add outputType schema for all chart tools. #24
  • hustcc: Initial the repo.

📄 License

MIT@hustcc.

from github.com/hustcc/mcp-echarts

Installing hustcc/mcp-echarts

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/hustcc/mcp-echarts

FAQ

Is hustcc/mcp-echarts MCP free?

Yes, hustcc/mcp-echarts MCP is free — one-click install via Unyly at no cost.

Does hustcc/mcp-echarts need an API key?

No, hustcc/mcp-echarts runs without API keys or environment variables.

Is hustcc/mcp-echarts hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install hustcc/mcp-echarts in Claude Desktop, Claude Code or Cursor?

Open hustcc/mcp-echarts on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Related MCPs

Compare hustcc/mcp-echarts with

Not sure what to pick?

Find your stack in 60 seconds

Author?

Embed badge for your README

Browse similar

All ai MCPs