template-mcp
A TypeScript MCP server template with Zod validation, dual transport (stdio/HTTP), and modular architecture for building MCP-compatible tools, resources, and prompts.
README
template-mcp
MCP (Model Context Protocol) server template with TypeScript, Zod validation, and dual transport support (stdio/HTTP). Compatible with any MCP client: Claude Code, Claude Desktop, Cursor, VS Code Copilot, Windsurf, Cline, and more.
Features
- Dual transport: stdio (local) and Streamable HTTP (remote)
- TypeScript strict with ESM modules
- Zod validation for tool input schemas
- Joi env validation (fail-fast on startup)
- Pino logging to stderr (stdio-safe)
- Modular architecture: tools, resources, and prompts as separate modules
- Factory pattern:
createServer()for testability - Full test suite with MCP SDK in-memory transport
- Quality tooling: ESLint + Prettier + Husky + lint-staged
- Docker ready: multi-stage build
- CI/CD: GitHub Actions pipeline
Quick Start
pnpm install
pnpm dev
Scripts
| Script | Description |
|---|---|
pnpm dev |
Start with hot reload (tsx watch) |
pnpm build |
Compile TypeScript + resolve aliases |
pnpm start |
Run compiled server |
pnpm test |
Run tests |
pnpm lint |
Lint source code |
pnpm type-check |
Type check without emit |
Configuration
Copy .env.example to .env and adjust:
| Variable | Default | Description |
|---|---|---|
MCP_TRANSPORT |
stdio |
Transport: stdio or http |
PORT |
3000 |
HTTP port (only for http transport) |
LOG_LEVEL |
info |
Pino log level |
NODE_ENV |
development |
Environment |
Project Structure
src/
├── main.ts # Entrypoint: transport selection
├── server.ts # createServer() factory
├── config/ # Env validation + constants
├── common/ # Logger, error helpers, types
├── tools/ # MCP tools (callable by LLMs)
├── resources/ # MCP resources (read-only data)
└── prompts/ # MCP prompts (reusable templates)
Adding a New Tool
- Create
src/tools/my-tool.tool.ts:
import type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { z } from 'zod';
export function registerMyTool(server: McpServer): void {
server.registerTool(
'my_tool',
{
title: 'My Tool',
description: 'What this tool does',
inputSchema: {
param: z.string().describe('Parameter description'),
},
annotations: {
readOnlyHint: true,
destructiveHint: false,
idempotentHint: true,
openWorldHint: false,
},
},
async ({ param }) => ({
content: [{ type: 'text', text: `Result: ${param}` }],
}),
);
}
- Register in
src/tools/index.ts:
import { registerMyTool } from './my-tool.tool.js';
export function registerTools(server: McpServer): void {
registerGreetTool(server);
registerMyTool(server); // add here
}
- Add tests in
src/tools/__tests__/my-tool.tool.spec.ts
Client Configuration
Claude Code
Add to .claude/settings.json:
{
"mcpServers": {
"template-mcp": {
"command": "node",
"args": ["/absolute/path/to/template-mcp/dist/main.js"]
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"template-mcp": {
"command": "node",
"args": ["/absolute/path/to/template-mcp/dist/main.js"]
}
}
}
Cursor
Add to Cursor Settings > MCP Servers:
{
"mcpServers": {
"template-mcp": {
"command": "node",
"args": ["/absolute/path/to/template-mcp/dist/main.js"]
}
}
}
VS Code (Copilot)
Add to .vscode/settings.json:
{
"mcp": {
"servers": {
"template-mcp": {
"command": "node",
"args": ["/absolute/path/to/template-mcp/dist/main.js"]
}
}
}
}
Docker
# Build
docker build -t template-mcp .
# Run (HTTP mode, used for remote access)
docker run -p 3000:3000 template-mcp
Tech Stack
- Node.js 22 + TypeScript (strict, ESM)
- MCP SDK v1 (
@modelcontextprotocol/sdk) - Zod (tool input validation)
- Joi (env validation)
- Pino (stderr logging)
- Vitest (testing)
- ESLint + Prettier + Husky
Verificación
Todo lo siguiente está comprobado y funcionando al 100%.
Calidad de código
| Check | Comando |
|---|---|
| Lint + formato | pnpm lint |
| Tipado estricto | pnpm type-check |
| Build (tsc + alias) | pnpm build |
Tests unitarios (11/11)
pnpm test
| Suite | Cubre |
|---|---|
greet.tool.spec.ts (5) |
Listado, estilos casual/formal/enthusiastic, rechazo de nombre vacío |
server-info.resource.spec.ts (2) |
Listado, campos JSON (name, version, uptime, timestamp) |
summarize.prompt.spec.ts (4) |
Listado, estilos brief/bullet-points, coerción numérica, defaults |
Sin red ni puertos — usa InMemoryTransport del SDK.
Runtime — transporte stdio (modo por defecto)
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}' \
| MCP_TRANSPORT=stdio node dist/main.js
Respuesta JSON-RPC en stdout, logs en stderr.
Runtime — transporte HTTP
MCP_TRANSPORT=http PORT=3100 node dist/main.js &
# Initialize → capturar Mcp-Session-Id del header
# tools/list, resources/list, prompts/list, tools/call greet, resources/read info://server
| Endpoint verificado | Resultado esperado |
|---|---|
tools/call greet {"name":"Freddy","style":"casual"} |
"Hey Freddy! How's it going?" |
resources/read info://server |
JSON con name, version, uptime, nodeVersion, timestamp |
Docker
docker build -t template-mcp . # multi-stage: base → deps → build → production
docker run -p 3000:3000 template-mcp # arranca en HTTP mode
CI (GitHub Actions)
pnpm install → pnpm lint → pnpm build → pnpm test
Corre en cada push y PR a main/master.
Pipeline de commits (local)
git commit → husky → lint-staged → eslint --fix + prettier --write (solo archivos staged)
Gaps conocidos
- HTTP transport sin tests automáticos (medio): los unit tests usan
InMemoryTransport; el transporte HTTP (StreamableHTTPServerTransport) solo se verificó manualmente con curl. Para producción remota añadir tests de integración con sesión real - Integración con cliente MCP (medio): verificar manualmente agregando a
.claude/settings.jsono Cursor y confirmando que tools/resources/prompts aparecen en el cliente - Tool inputs extremos (bajo): strings muy largos, unicode malformado — Zod los rechaza pero el error response no está testeado vía HTTP
- Sesiones concurrentes (bajo): fuera del scope de un template
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。