# Apache ECharts

> Use this tool when you need to generate publication-ready data visualization charts with minimal configuration, solving the problem of complex charting APIs in AI workflows. It accepts parameters such as chart type, data, title, and series name, and returns cloud-hosted image URLs across eight supported chart types. Ideal for use in AI-driven applications requiring stable and consistent visualization results, including bar, line, pie, and other chart types.

Canonical page: https://skillsregistry.net/skills/apache-echarts  
JSON: https://api.skillsregistry.net/v1/skills/apache-echarts

## Description

An Apache ECharts MCP server that generates data visualization charts by accepting minimal parameters from LLMs and returning cloud-hosted image URLs. Built by the Apache ECharts team, it takes a focused approach requiring only chart type, data, title, and series name rather than full ECharts configuration objects, ensuring stable and consistent results across eight supported chart types including bar, line, pie, scatter, funnel, tree, treemap, and sunburst. The server renders charts server-side using HTML5 Canvas, uploads images to Baidu Cloud Storage, and returns accessible URLs, making it valuable for creating publication-ready visualizations in AI workflows without requiring users to understand complex charting APIs.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/apache-echarts)
- **Repository:** <https://github.com/apache/echarts-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apache-echarts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apache-echarts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apache-echarts/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt