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MCP D3 Server is an MCP server that provides analytics tools to AI agents. Its tool list has not been published yet over sse and http, requires no API key, and scores 60/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"mcp-d3-server": {
"url": "<see-readme-for-url>"
}
}
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
d3-docsAccess D3 documentation on specific topics
d3-docs://{topic}
d3-chartsGet information about specific D3 chart types
d3-charts://{chartType}
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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.
git clone https://github.com/iamfiscus/mcp-d3-server.git
cd mcp-d3-server
npm install
npm run build
npm start
The server will be running at http://localhost:3000 (or the PORT specified in your .env file)
Connect to the MCP endpoint at http://localhost:3000/mcp-sse using an MCP client
For development with hot reloading:
npm run dev
generate-d3-chart: Generate D3 code for different chart types
recommend-chart: Get recommendations for D3 chart types based on your data
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);
MIT
Contributions are welcome! Please feel free to submit a Pull Request.