template-mcp
Provides a multi-stage Docker build for deploying the MCP server in HTTP mode for remote access.
Provides a CI/CD pipeline that runs linting, build, and tests on every push and PR to main/master.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@template-mcpadd a greeting tool that accepts a name and returns a personalized message"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 testabilityFull 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
Related MCP server: xmcp Application
Quick Start
pnpm install
pnpm devScripts
Script | Description |
| Start with hot reload (tsx watch) |
| Compile TypeScript + resolve aliases |
| Run compiled server |
| Run tests |
| Lint source code |
| Type check without emit |
Configuration
Copy .env.example to .env and adjust:
Variable | Default | Description |
|
| Transport: |
|
| HTTP port (only for |
|
| Pino log level |
|
| 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-mcpTech 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 |
|
Tipado estricto |
|
Build (tsc + alias) |
|
Tests unitarios (11/11)
pnpm testSuite | Cubre |
| Listado, estilos casual/formal/enthusiastic, rechazo de nombre vacío |
| Listado, campos JSON (name, version, uptime, timestamp) |
| 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.jsRespuesta 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://serverEndpoint verificado | Resultado esperado |
|
|
| 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 modeCI (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 realIntegración con cliente MCP (medio): verificar manualmente agregando a
.claude/settings.jsono Cursor y confirmando que tools/resources/prompts aparecen en el clienteTool 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
Available Tools
1 toolgreetGreet UserARead-onlyIdempotent
Generates a personalized greeting message. Use this tool when you need to greet someone by name with an optional custom greeting style.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The name of the person to greet | |
| style | No | The greeting style to use | casual |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description does not need to repeat those. It adds the behavioral detail that the greeting is 'personalized' and that style is optional with a default value, which is sufficient given the high annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence that is front-loaded with the main action and immediately provides usage guidance. Every word is necessary and there is no redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 parameters, no output schema, no nested objects) and the rich annotations, the description is complete enough. It covers the purpose and usage adequately. No output schema is needed as the return is self-evident.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters thoroughly (name with length constraints, style with enum and default). The description adds no new parameter information beyond what's in the schema, earning a baseline score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool generates a personalized greeting message, with a specific verb ('greet') and resource ('someone by name'). It also mentions the optional custom greeting style, distinguishing it from any potential siblings (though none exist).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use this tool when you need to greet someone by name with an optional custom greeting style,' providing clear usage context. However, it does not specify when not to use it or mention any alternatives, but since there are no siblings, this is adequate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
greet
TDQS
Only one tool exists, so there is no ambiguity in choosing between tools.
With only one tool, consistency is not applicable, but the name 'greet' is clear and follows a common verb pattern.
A single tool for a server called 'template-mcp' suggests an extremely narrow scope, which is likely insufficient for meaningful tasks.
The server only offers a greeting function, which is too limited for any substantial workflow; missing any broader functionality.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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