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D3 MCP Server: Unrivaled Performance & Enterprise Scalability - MCP Implementation

D3 MCP Server: Unrivaled Performance & Enterprise Scalability

D3 MCP Server: Unrivaled performance meets enterprise-grade scalability, engineered for data-driven giants who demand lightning-fast processing without compromise. Built for the bold." )

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About D3 MCP Server

What is D3 MCP Server: Unrivaled Performance & Enterprise Scalability?

The D3 MCP Server is a TypeScript-based Express server implementing the Model Context Protocol (MCP), specifically tailored for D3.js developers. Designed to enhance productivity through intelligent automation, it provides seamless access to D3 documentation, chart recommendations, and customizable code generation. Built with enterprise-grade scalability in mind, this server ensures low latency and high availability for mission-critical visualization workflows.

How to Use D3 MCP Server: Unrivaled Performance & Enterprise Scalability?

  1. Installation: Clone the repository and install dependencies using Node.js 16+:
    
    git clone https://github.com/iamfiscus/mcp-d3-server.git
    cd mcp-d3-server
    npm install
          
  2. Deployment: Start the server in production mode:
    npm start
    The server runs on http://localhost:3000 by default.
  3. Integration: Connect via MCP client endpoints:
    
    const transport = new SseClientTransport("http://localhost:3000/sse");
    await client.connect(transport);
          

D3 MCP Server Features

Key Features of D3 MCP Server: Unrivaled Performance & Enterprise Scalability?

Dynamic Documentation Access

Retrieve real-time D3.js documentation and example implementations using structured queries like:

d3-docs://geographic-projections

Intelligent Chart Recommendations

Leverage AI-driven suggestions for chart types based on data characteristics:


client.invokeTool("recommend-chart", {
  dataDescription: "Time-series sensor data with 10k+ entries",
  purpose: "Anomaly detection visualization"
});
        

Code Generation Engine

Generate production-ready D3 code with optional parameters:


generate-d3-chart({
  chartType: "force-directed",
  dataFormat: "JSON",
  features: ["tooltip", "interactive-node-highlight"]
});
        

Use Cases of D3 MCP Server: Unrivaled Performance & Enterprise Scalability?

  • Data Analysis Workflows: Financial institutions using automated chart recommendations for compliance reporting
  • Enterprise Dashboards: Real-time integration with BI platforms like Tableau through MCP endpoints
  • Academic Research: Universities leveraging the code generation API for reproducible visualization research
  • IoT Visualization: Manufacturing companies generating dynamic sensor data visualizations at scale

D3 MCP Server FAQ

FAQ from D3 MCP Server: Unrivaled Performance & Enterprise Scalability?

How does scalability work?

Built with Node.js cluster module support, the server auto-scales across CPU cores. Horizontal scaling is achieved through MCP protocol load balancing.

Can I customize the documentation sources?

Yes, the server allows registering custom documentation sources via configuration files. See the configuration guide for details.

What security measures are included?

Implements JWT token authentication and rate limiting. HTTPS encryption is enforced in production mode.

How to contribute?

Submit pull requests via GitHub. All contributions are reviewed by the core team and tested through our CI pipeline.

Content

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
  1. Install dependencies
npm install
  1. Build the project
npm run build

Usage

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

  2. 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.

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