docs: update readme add contributors and release 0.3.0 (#9)

* docs: update reamde

* chore: 0.3.0

Author: hustcc

README.md

@@ -77,7 +77,93 @@ Start the MCP server:
 npm run start
 ```
 
+# <img src="https://echarts.apache.org/zh/images/favicon.png" height="24"/> MCP ECharts ![](https://badge.mcpx.dev?type=server 'MCP Server')  [![build](https://github.com/hustcc/mcp-echarts/actions/workflows/build.yml/badge.svg)](https://github.com/hustcc/mcp-echarts/actions/workflows/build.yml) [![npm Version](https://img.shields.io/npm/v/mcp-echarts.svg)](https://www.npmjs.com/package/mcp-echarts) [![smithery badge](https://smithery.ai/badge/@hustcc/mcp-echarts)](https://smithery.ai/server/@hustcc/mcp-echarts) [![npm License](https://img.shields.io/npm/l/mcp-echarts.svg)](https://www.npmjs.com/package/mcp-echarts)
+
+Generate <img src="https://echarts.apache.org/zh/images/favicon.png" height="14"/> [Apache ECharts](https://echarts.apache.org/) diagram and chart with AI MCP dynamically. Using for chart generation and data analysis.
+
+<a href="https://glama.ai/mcp/servers/@hustcc/mcp-echarts">
+  <img width="380" height="200" src="https://glama.ai/mcp/servers/@hustcc/mcp-echarts/badge" alt="ECharts MCP server" />
+</a>
+
+<div align="center">
+  <img width="648" alt="mcp-echarts" src="https://mdn.alipayobjects.com/huamei_1gdzij/afts/img/A*s3w3SpMMPDQAAAAARzAAAAgAemB7AQ/original" />
+</div>
+
+## ✨ 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.
+- Lightweight, we can install it with `zero dependence`.
+- Extremely `secure`, fully generated locally, without relying on any remote services.
+
+
+## 🤖 Usage
+
+To use with `Desktop APP`, such as Claude, VSCode, Cline, Cherry Studio, and so on, add the  MCP server config below. On Mac system:
+
+```json
+{
+  "mcpServers": {
+    "mcp-echarts": {
+      "command": "npx",
+      "args": [
+        "-y",
+        "mcp-echarts"
+      ]
+    }
+  }
+}
+```
+
+On Window system:
+
+```json
+{
+  "mcpServers": {
+    "mcp-echarts": {
+      "command": "cmd",
+      "args": [
+        "/c",
+        "npx",
+        "-y",
+        "mcp-echarts"
+      ]
+    }
+  }
+}
+```
+
+Also, you can use it on aliyun, modelscope, glama.ai, smithery.ai or others with HTTP, SSE Protocol.
+
+
+## 🔨 Development
+
+Install dependencies:
+
+```bash
+npm install
+```
+
+Build the server:
+
+```bash
+npm run build
+```
+
+Start the MCP server:
+
+```bash
+npm run start
+```
+
+
+## 🧑🏻‍💻 Contributors
+
+- [lyw405](https://github.com/lyw405): Supports 15+ charting MCP tool. [#2](https://github.com/hustcc/mcp-echarts/issues/2)
+- [BQXBQX](https://github.com/BQXBQX): Use @napi-rs/canvas instead node-canvas. [#3](https://github.com/hustcc/mcp-echarts/issues/3)
+- [hustcc](https://github.com/hustcc): Initial the repo.
+
 
 ## 📄 License
 
-MIT@[hustcc](https://github.com/hustcc).
+MIT@[hustcc](https://github.com/hustcc).

package.json

@@ -1,7 +1,7 @@
 {
   "name": "mcp-echarts",
   "description": "❤️ Generate visual charts using Apache ECharts with AI MCP dynamically.",
-  "version": "0.2.0",
+  "version": "0.3.0",
   "main": "build/index.js",
   "scripts": {
     "test": "vitest",