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Skill v1.0.1
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PublishedJuly 5, 2026 at 07:27 AM
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version: "1.0.1" name: mcp-server description: Build production MCP (Model Context Protocol) servers that let AI clients call your tools and read your data. Covers tool registration with Zod validation, resource handlers, prompt templates, stdio and HTTP transports, session management, error handling, testing, and deployment. Use when building MCP servers or tools for AI integration.
MCP Server Mastery
Project Setup
bash
mkdir my-mcp-server && cd my-mcp-servernpm init -ynpm install @modelcontextprotocol/server zodnpm install -D typescript @types/node
package.json
json
{"type": "module","bin": { "my-mcp-server": "dist/index.js" },"scripts": { "build": "tsc", "start": "node dist/index.js" }}
tsconfig.json
json
{"compilerOptions": {"target": "ES2022", "module": "NodeNext", "moduleResolution": "NodeNext","outDir": "dist", "strict": true, "esModuleInterop": true, "skipLibCheck": true},"include": ["src"]}
Server Architecture
src/├── index.ts # Entry point, server + transport setup├── tools/ # Tool handler files│ ├── search.ts│ └── compute.ts├── resources/ # Resource handlers│ └── config.ts└── utils/ # Shared utilities└── errors.ts
Tool Patterns
Tool with Structured Output
ts
import { McpServer } from "@modelcontextprotocol/server/mcp.js";import { z } from "zod";const server = new McpServer({ name: "my-server", version: "1.0.0" });server.registerTool("calculate-bmi", {title: "BMI Calculator",description: "Calculate Body Mass Index from weight and height",inputSchema: z.object({weightKg: z.number().positive(),heightM: z.number().positive(),}),outputSchema: z.object({ bmi: z.number(), category: z.string() }),}, async ({ weightKg, heightM }) => {const bmi = weightKg / (heightM * heightM);const category = bmi < 18.5 ? "underweight" : bmi < 25 ? "normal" : bmi < 30 ? "overweight" : "obese";return {content: [{ type: "text", text: `BMI: ${bmi.toFixed(1)} (${category})` }],structuredContent: { bmi: Number(bmi.toFixed(1)), category },};});
Tool with Error Handling
ts
server.registerTool("fetch-url", {title: "Fetch URL",description: "Fetch content from a URL and return as text",inputSchema: z.object({url: z.string().url(),timeout: z.number().optional().default(10000),}),}, async ({ url, timeout }) => {try {const controller = new AbortController();const timer = setTimeout(() => controller.abort(), timeout);const response = await fetch(url, { signal: controller.signal });clearTimeout(timer);if (!response.ok) {return { content: [{ type: "text", text: `HTTP ${response.status}: ${response.statusText}` }], isError: true };}const text = await response.text();return { content: [{ type: "text", text: text.slice(0, 50000) }] };} catch (error) {const message = error instanceof Error ? error.message : "Unknown error";return { content: [{ type: "text", text: `Fetch failed: ${message}` }], isError: true };}});
Tool with Annotations
ts
server.registerTool("read-file", {title: "Read File",description: "Read a file from disk",inputSchema: z.object({ path: z.string() }),annotations: { readOnlyHint: true, openWorldHint: false },}, async ({ path }) => {const content = await fs.readFile(path, "utf-8");return { content: [{ type: "text", text: content }] };});
Resource Patterns
Static Resource
ts
server.registerResource("config", "config://app", {title: "App Configuration",description: "Current application configuration",mimeType: "application/json",}, async (uri) => ({contents: [{ uri: uri.href, text: JSON.stringify(getConfig(), null, 2) }],}));
Dynamic Resource with Template
ts
import { ResourceTemplate } from "@modelcontextprotocol/server/mcp.js";server.registerResource("user-profile",new ResourceTemplate("user://{userId}/profile", {list: async () => ({resources: users.map((u) => ({ uri: `user://${u.id}/profile`, name: u.name })),}),}),{ title: "User Profile", mimeType: "application/json" },async (uri, { userId }) => ({contents: [{ uri: uri.href, text: JSON.stringify(await getUser(userId)) }],}));
Transport Setup
Stdio (local CLI tools)
ts
import { StdioServerTransport } from "@modelcontextprotocol/server/stdio.js";const transport = new StdioServerTransport();await server.connect(transport);
HTTP (remote services)
ts
import express from "express";import { NodeStreamableHTTPServerTransport } from "@modelcontextprotocol/server/streamableHttp.js";const app = express();app.use(express.json());app.post("/mcp", async (req, res) => {const transport = new NodeStreamableHTTPServerTransport({ sessionIdGenerator: undefined });await server.connect(transport);await transport.handleRequest(req, res, req.body);});app.listen(3000, "127.0.0.1");
Client Configuration
Claude Desktop / Cursor / VS Code
json
{"mcpServers": {"my-server": {"command": "node","args": ["path/to/dist/index.js"],"env": { "API_KEY": "..." }}}}
Best Practices
- Use Zod schemas for ALL input/output validation
- Keep tools focused — one action per tool
- Return
isError: trueon failures — never throw unhandled - Log to stderr (
console.error) — stdout is used by stdio transport - Add
#!/usr/bin/env nodeshebang for CLI distribution - Resources are read-only — no mutations
- Use
outputSchemawhen tools return structured data - Set timeouts on all external calls