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.
Continue readingGuided 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.
A Look at the Project Ahead
- 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.
- 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
- 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