MCP Server Starter Generator
Generate a runnable MCP server project in TypeScript, Python or Go with tools, resources, prompts, stdio or HTTP transport and optional auth.
MCP Server Starter Generator
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { registerTools } from "./tools/index.js";
import { registerResources } from "./resources/index.js";
import { registerPrompts } from "./prompts/index.js";
const server = new McpServer({
name: "my-mcp-server",
version: "1.0.0",
});
registerTools(server);
registerResources(server);
registerPrompts(server);
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("my-mcp-server MCP server running on stdio");
Updated . Provided as is. Check the output before you rely on it in production.
How to use MCP Server Starter Generator
- 1
Choose your language
Select TypeScript, Python, or Go from the language tabs. Each generates a complete project with the appropriate SDK imports and project structure.
- 2
Configure project settings
Enter a project name, select your transport method (stdio for local, SSE or Streamable HTTP for remote), and optionally choose an auth method (API Key or OAuth 2.1).
- 3
Define your tools
Click 'Add Tool' and specify each tool's name, description, and input parameters with types. Use 'Load Sample' for a quick example with realistic tools.
- 4
Add resources (optional)
Define any static resources or URI templates your server exposes, with MIME types. Resources let AI clients read data from your server.
- 5
Add prompts (optional)
Define reusable prompt templates with arguments. Prompts help AI clients generate structured requests to your server.
- 6
Preview and download
Browse the generated file tree, click any file to see its contents. Click 'Download ZIP' to get your complete, ready-to-run MCP server project with README, SDK imports, and Dockerfile.
Questions and answers
What is an MCP server?
What languages are supported?
What transport methods can I choose?
Is the generated code production-ready?
Does this tool store my data?
For AI agents: how to call this tool
Machine-readable contract, endpoints and examples. Humans can ignore this section.
Best Path For Builders
Browser workflow
Runs instantly in the browser with private local processing and copy/export-ready output.
Browser Workflow
This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.
/mcp-generator/
For automation planning, fetch the canonical contract at /api/tool/mcp-generator.json.