Install
$ agentstack add mcp-zhr7777777-echarts-mcp-server ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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 abarchart.generate_line_chart- Generate alinechart.generate_pie_chart- Generate apiechart.generate_scatter_chart- Generate ascatterchart.generate_radar_chart- Generate aradarchart.generate_heatmap_chart- Generate aheatmapchart.generate_general_chart- Generate aeffectScatter, tree, treemap, sunburst, boxplot, candlestick, graph, sankey, funnel, gauge or themeRiverchart.
🤖 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.
- Author: zhr7777777
- Source: zhr7777777/echarts-mcp-server
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.