一个基于TypeScript Express的模型上下文协议(MCP)服务器,用于D3.js信息. 这个服务器通过MCP协议提供D3可视化文档,图表建议和代码生成.

□ 特性

• D3资源:从D3来源获取文件和实例
• ** 图表建议**:根据您的数据和目标,为正确的图表类型提出建议
• ** 代码生成**:生成各种图表类型的 D3 代码示例
• • ** MCP 集成**:将AI工具直接连接到D3知识

□ 先决条件

• 节点.js 16.x或以上
• Npm或纱线

□ 安装

1. 清除储存库

2. 安装依赖关系

3. 建设项目

□ 使用量

1. 启动服务器

2. 服务器将在 [[T0] (或您.env文件中指定的 PORT) 运行

3. 使用 MCP 客户端连接到 [[T1] 的 MCP 端点

□ 发展

对于带有热重载的开发:

□ 可用的 MCP 资源和工具

资源

• d3-docs://{topic}: 获取关于特定专题的D3文件
• d3-charts://{chartType}:获取特定D3图表类型的信息

QQ 工具

D3 MCP Server

A TypeScript Express-based Model Context Protocol (MCP) server for D3.js information. This server provides D3 visualization documentation, chart recommendations, and code generation through the MCP protocol.

Features

• 📊 D3 Resources: Access documentation and examples from D3 sources
• 🔍 Chart Recommendation: Get recommendations for the right chart type based on your data and goals
• 💻 Code Generation: Generate D3 code examples for various chart types
• 🔌 MCP Integration: Connect AI tools directly to D3 knowledge

Prerequisites

• Node.js 16.x or higher
• npm or yarn

Installation

1. Clone the repository

git clone https://github.com/iamfiscus/mcp-d3-server.git
cd mcp-d3-server

2. Install dependencies

npm install

3. Build the project

npm run build

Usage

1. Start the server

npm start

2. The server will be running at http://localhost:3000 (or the PORT specified in your .env file)

3. Connect to the MCP endpoint at http://localhost:3000/mcp-sse using an MCP client

Development

For development with hot reloading:

npm run dev

Available MCP Resources and Tools

Resources

• d3-docs://{topic}: Access D3 documentation on specific topics
• d3-charts://{chartType}: Get information about specific D3 chart types

Tools

• generate-d3-chart: Generate D3 code for different chart types

  • Parameters: chartType, dataFormat, features (optional)

• recommend-chart: Get recommendations for D3 chart types based on your data

  • Parameters: dataDescription, purpose

Examples

MCP Client Connection Example

import { McpClient } from "@modelcontextprotocol/sdk/client/mcp.js";
import { SseClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";

// Create an MCP client
const client = new McpClient();

// Connect to the D3 MCP server
const transport = new SseClientTransport("http://localhost:3000/sse");
await client.connect(transport);

// Get chart recommendations
const result = await client.invokeTool("recommend-chart", {
  dataDescription: "Monthly sales data for 5 product categories over 2 years",
  purpose: "Show trends and compare performance across categories"
});

console.log(result.content[0].text);

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.