Build Your Own MCP Servers with TypeScript -Beginner’s Guide

Set up a TypeScript MCP project by installing Node.js, Visual Studio Code, and GitHub Copilot, downloading the dev code, and configuring MySQL Workbench for backend and database work.

Set up TypeScript-based MCP server by importing the code base, configuring a database, creating the products table, installing dependencies, and validating CRUD operations and batch processing with a dev-demo script.

Build an MCP server in TypeScript by configuring tools, resources, prompts, and sampling, and register tools for actions like add product, update product, delete, and search products.

Learn to build input and output schemas in a TypeScript tool using z and jot, defining fields like sku, name, price, and quantity with optional, nullable, and non-negative validation.

Implement a callback function in the tool to invoke the codebase's ad product method, pass input schema, and return product details to the LLM via async calls.

Learn how MCP tools output to LLM using content and structured content, convert JavaScript objects to readable text with JSON.stringify, and send text or structured data for multi-tool interactions.

Create a stdio transport for an MCP server and connect it to MCP clients, wiring a trigger point to call the product-adding method and manage data flow.

Explore how Copilot integration with MCP tooling analyzes and tests the MCP server, registers tools, and uses an agent with a selected brain to perform actions like adding a product.

register MCP tools for a server by implementing get product by ID with add and delete operations, including input and output schemas and error handling with llms.

Learn to integrate an MCP server with the cloud desktop client, configure MCP servers via cloud config, MCP.json, and package.json, and verify by adding an e-commerce product.

Master compiling TypeScript to JavaScript, using dist, restarting the MCP server, and testing tools like get product id and delete product with proper await.

Define MCP server tools with id input and boolean output for delete product, and map get product and add product through clear input and output schemas.

Learn how MCP resources expose read-only data for context and retrieval with caching to reduce token costs, contrasting them with actions and tools for updates.

Register a resource with a name and uri, then fetch products from product catalog. Learn how retrieval context reduces language model calls and clarifies when to use resources versus tools.

Learn how sampling enables MCP servers to request AI assistance during tool execution, auto enrich missing data, and guiding decisions with LLM integration, which varies with MCP tools and resources.

Create MCP resources to list low stock products by filtering quantities under five and returning text, and learn the difference between resources and actions in MCP.

Register a tool in the MCP server, define a smart add product action with an input schema, and use AI-generated descriptions to fill missing details.

Develop a quick server-side function to query an AI via MCP server, using create message, messages, and a user role to generate a product description prompt.

Test end-to-end MCP sampling and compare how different tools select a product creation path, with smart AI generating descriptions and populating the database.

Explore prompts and templates to generate consistent templates for MCP prompts, using product name, features, and target audience to auto-generate e-commerce product descriptions.

Learn to build MCP prompt templates in a TypeScript server by defining a prompt name, arc schema inputs, and a callback to generate a reusable message template.

Explore how MCP pairs tools, resources, prompts, and sampling to drive server actions, with the language model selecting tools, invoking server methods, and using templates for consistent descriptions.

Publish your MCP server as a node package on the npm registry, configure package.json and bin, and use npm link to expose a global executable.

Learn to use the .npmrc file to choose the destination registry, then login, publish, and push your MCP server to a central or company repository.

Learn how the MCP inspector helps debug and validate MCP servers by exploring tools, resources, prompts, and sampling, connecting to the inspector, and verifying outputs vs LM integration.

Explore how TypeScript extends JavaScript with type annotations and extra features, compile to JavaScript with tsc, then run on node, and see how Playwright supports TypeScript out of the box.

Master TypeScript type syntaxes, from strings and numbers to arrays and any, and learn to install TypeScript, write typed variables, compile with tsc, and run via node.

Explore TypeScript type syntaxes through functions, typed parameters and return values, and object contracts, then apply strong typing to classes and Playwright page objects for reliable code.