Create MCP Server Pro — Scaffold Production-Ready MCP Servers

Scaffold a production-ready MCP server in one command. TypeScript, Vitest tests, GitHub Actions CI, error handling patterns, and best practices — all included.

npx create-mcp-server-pro my-server

The official MCP scaffolder was archived in November 2024. This is the production-ready replacement — built from patterns used in 4 real MCP servers with 100+ combined tools.

Why This One?

Feature	Official (archived)	FastMCP template	create-mcp-server-pro
Maintained	Archived Nov 2024	Yes	Yes
Official MCP SDK	Yes	No (FastMCP)	Yes
Vitest tests	No	No	Yes
GitHub Actions CI	No	No	Yes
Error handling patterns	No	No	Yes
Agent-friendly README	No	No	Yes
Auth boilerplate	No	No	Yes
semantic-release	No	No	Yes
ESLint 9 + Prettier	No	No	Yes

Quick Start

Interactive

npx create-mcp-server-pro my-server

You'll be asked for:

• Server name — npm package name (defaults to mcp-server-<directory>)
• Description — what your server does
• Authentication — whether it needs an API token
• Author — your name

Non-Interactive (Agent-Friendly)

npx create-mcp-server-pro my-server \
  --name mcp-server-weather \
  --description "MCP server for weather data" \
  --auth \
  --author "Your Name"

All flags are optional. Provide --name and --description to skip all prompts.

After Scaffolding

cd my-server
npm install
npm run build
npm test

Then add your tools in src/tools.ts and register them in src/index.ts.

What Gets Generated

my-server/
  src/
    index.ts          # McpServer setup, tool registration, StdioServerTransport
    tools.ts          # Example tools with proper error handling
  tests/
    tools.test.ts     # Vitest tests with fetch mocking
  .github/
    workflows/
      ci.yml          # Node 20 + 22 matrix, lint, typecheck, build, test
      release.yml     # semantic-release on version tags
    FUNDING.yml
  package.json        # bin field, correct deps, scripts, lint-staged
  tsconfig.json       # ES2022, NodeNext, strict mode
  tsup.config.ts      # ESM, node20 target, shebang banner
  vitest.config.ts    # globals, v8 coverage
  eslint.config.js    # flat config, typescript-eslint strict
  .prettierrc.json
  .gitignore
  LICENSE             # MIT
  README.md           # Agent-friendly with Quick Start configs

How to Build an MCP Server

If you're new to MCP (Model Context Protocol), here's what you need to know.

What is MCP?

MCP is an open standard by Anthropic that lets AI assistants (Claude, Cursor, GitHub Copilot, Windsurf) connect to external tools and data. Your MCP server exposes tools that AI agents can call.

AI Assistant  <-->  MCP Protocol  <-->  Your Server  <-->  APIs / Data

Anatomy of a Tool

Every MCP tool has three parts:

import { z } from "zod";

server.tool(
  "tool_name", // 1. Name (snake_case)
  "What this tool does — be specific for the AI", // 2. Description
  {
    // 3. Input schema (Zod)
    query: z.string().describe("Search query"),
    limit: z
      .number()
      .int()
      .min(1)
      .max(100)
      .default(10)
      .describe("Max results to return"),
  },
  async ({ query, limit }) => {
    // 4. Handler
    try {
      const results = await searchAPI(query, limit);
      return {
        content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
      };
    } catch (err) {
      const message = err instanceof Error ? err.message : String(err);
      return {
        content: [{ type: "text", text: `Error: ${message}` }],
        isError: true,
      };
    }
  },
);

Best Practices

These patterns come from building 4 production MCP servers:

Naming

• Use snake_case for tool names (e.g. search_packages, get_user)
• Avoid spaces, dots, or mixed case — they cause tokenization issues in LLMs

Descriptions

• Write descriptions for the AI, not for humans
• Be specific: "Search npm packages by keyword and return name, version, and description" is better than "Search packages"
• Every Zod field should have .describe() — this is how the AI knows what to pass

Error Handling

• Wrap external calls in try/catch
• Return { content: [...], isError: true } for recoverable errors
• Include actionable context: "API_TOKEN not set. Set it in your MCP client env." not "Auth failed"

Testing

• Test tool logic separately from MCP registration
• Mock fetch with vi.spyOn(globalThis, "fetch")
• Test both success and error paths

Project Structure

• Keep tool logic in src/tools.ts (or src/tools/ for many tools)
• Keep MCP registration in src/index.ts
• This separation makes tools testable without MCP transport

Connecting to AI Clients

After building your server (npm run build), connect it:

Claude Desktop — ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "my-server": {
      "command": "npx",
      "args": ["-y", "my-server"]
    }
  }
}

Cursor — .cursor/mcp.json in your project:

{
  "mcpServers": {
    "my-server": {
      "command": "npx",
      "args": ["-y", "my-server"]
    }
  }
}

VS Code (GitHub Copilot) — .vscode/mcp.json:

{
  "servers": {
    "my-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "my-server"]
    }
  }
}

Real-World Examples

These MCP servers were built with the same patterns this scaffolder generates:

Server	Tools	What it does
mcp-server-devutils	17	Base64, UUID, hash, JWT decode, cron, timestamps, JSON, regex
mcp-server-npm	6	Search packages, view details, compare, check downloads
mcp-server-github-gist	8	Create, read, update, list, and search GitHub Gists
mcp-server-cloudflare	13	Workers, KV, R2, DNS, and cache management

Author

License

MIT