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Echarts Mcp Server

mcp-zhr7777777-echarts-mcp-server · by zhr7777777

MCP server from zhr7777777/echarts-mcp-server.

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Install

$ agentstack add mcp-zhr7777777-echarts-mcp-server

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

ECharts MCP Server [](https://github.com/antvis/mcp-server-chart/actions/workflows/build.yml) [](https://www.npmjs.com/package/@antv/mcp-server-chart) [](https://smithery.ai/server/@antvis/mcp-server-chart) [](https://www.npmjs.com/package/@antv/mcp-server-chart)

A Model Context Protocol server for generating charts using ECharts inspired by AntV.

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.

✨ Features

Nearly all types of chart supported. Each tool will return a chart preview URL which is the echarts official chart preview page.

For example, this pie chart

  • generate_bar_chart - Generate a bar chart.
  • generate_line_chart - Generate a line chart.
  • generate_pie_chart - Generate a pie chart.
  • generate_scatter_chart - Generate a scatter chart.
  • generate_radar_chart - Generate a radar chart.
  • generate_heatmap_chart - Generate a heatmap chart.
  • generate_general_chart - Generate a effectScatter, tree, treemap, sunburst, boxplot, candlestick, graph, sankey, funnel, gauge or themeRiver chart.

🤖 Usage

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

{
  "mcpServers": {
    "echarts-server": {
      "command": "node",
      "args": [
        "your-path/echarts-mcp-server/build/index.js"
      ]
    }
  }
}

Or

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

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

🚰 Run with SSE or Streamable transport

Install the package globally.

npm install -g echarts-mcp-server

Run the server with your preferred transport option:

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

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

Then you can access the server at:

  • SSE transport: http://localhost:1122/sse
  • Streamable transport: http://localhost:1122/mcp

🎮 CLI Options

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

MCP Server Chart 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: 1122)
  --endpoint, -e   Specify the endpoint for the transport:
                   - For SSE: default is "/sse"
                   - For streamable: default is "/mcp"
  --help, -h       Show this help message

🔨 Development

Install dependencies:

npm install

Build the server:

npm run build

Start the MCP server:

npm run start

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.