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Offered By: IBMSkillsNetwork

Build an MCP Server and LangGraph.js Agent to manage Gmail

Build a Model Context Protocol (MCP) server to enable smart Gmail actions in a LangGraph agent. This intermediate level project guides you through creating a smart email management system using OpenAI's GPT models and Anthropic's MCP. You’ll implement Gmail OAuth, design a React user interface with an Express backend, and build an agent that can manage emails with natural language prompts. By the end of the project, you'll be proficient with the MCP SDK and understand it's many practical use cases. Enroll now to learn this cutting-edge technology used across countless industries.

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Guided Project

Artificial Intelligence

At a Glance

Build a Model Context Protocol (MCP) server to enable smart Gmail actions in a LangGraph agent. This intermediate level project guides you through creating a smart email management system using OpenAI's GPT models and Anthropic's MCP. You’ll implement Gmail OAuth, design a React user interface with an Express backend, and build an agent that can manage emails with natural language prompts. By the end of the project, you'll be proficient with the MCP SDK and understand it's many practical use cases. Enroll now to learn this cutting-edge technology used across countless industries.

AI agents are transforming how we interact with technology, automating tasks that once took hours into just a few clicks. By learning to build a Model Context Protocol (MCP) server and a LangGraph agent, you’ll gain hands-on experience in connecting AI models to real-world tools. This project is especially exciting because it shows how AI can manage everyday tasks, like email, using natural language—making technology smarter and more accessible. Completing this project will give you practical skills that can be applied to productivity tools, automation workflows, and modern AI applications.


A Look at the Project Ahead

In this guided project, you will:
  • Build a Model Context Protocol (MCP) server to provide AI agents with structured access to tools and resources.
  • Develop a LangGraph ReAct agent that can send, search, and reply to Gmail messages using natural language commands.
  • Create a ReactJS frontend and Express backend to handle UI interactions and server communication.
  • Integrate Gmail OAuth authentication to securely manage user emails.
By the end of this lab you'll:
  • Understand what MCP server's are, how they work, and their typical use cases.
  • Build an AI agent that interact with external tools through MCP servers.
  • Design intelligent workflows using LangGraph agents.
  • Implement practical AI-powered automation in a web application.

What You'll Need

Before starting this project, you should have:
  • An interest in agentic AI and general understanding of how they work
  • A good understanding of how client-server HTTP interactions work
  • A good understanding of JavaScript and HTML/CSS in a web development context
  • Familiarity with the ReactJS framework and common hooks
  • Familiarity with Node environments and package management
  • A modern browser to run this CloudIDE environment (Chrome, Firefox, Safari, etc.)

Estimated Effort

50 Minutes

Level

Intermediate

Skills You Will Learn

AI Agent, JavaScript, LangGraph, MCP, React

Language

English

Course Code

GPXX0YY7EN

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