Have you ever wondered how to create a movie ticket booking app using LangGraph? As someone who has built an AI travel planner and integrated GitHub MCP servers, I’m excited to explore this idea further. To get started, we’ll need to choose the right inbuilt MCP servers. But which ones? In this post, I’ll share my journey of building a ticket booking agent and the challenges I faced along the way.
First, let’s talk about LangGraph and its capabilities. LangGraph is a powerful tool that allows us to build conversational AI models. With its natural language processing capabilities, we can create complex AI models that can understand user requests and respond accordingly.
To build a movie ticket booking app, we’ll need to integrate LangGraph with a ticketing system. This will enable our AI model to book tickets on behalf of the user. But how do we do this? One approach is to use an inbuilt MCP server that can communicate with the ticketing system.
There are several MCP servers available, including GitHub’s MCP server. However, we’ll need to choose the right one that fits our needs. We’ll also need to consider factors such as scalability, security, and ease of use.
In this post, I’ll share my experience of building a movie ticket booking app using LangGraph. I’ll cover the challenges I faced, the solutions I found, and the lessons I learned along the way. If you’re interested in building a similar app, this post is for you.
So, let’s get started!