IBM API Connect

In the rapidly evolving landscape of AI development, large language models (LLMs) have become powerful tools for creating intelligent applications. However, a persistent challenge has been connecting these models to the diverse data sources they need to provide context-aware responses. Today, this integration becomes dramatically simpler by combining Model Context Protocol (MCP) and GraphQL.

GraphQL queries are what allows GraphQL to efficiently get data, by letting you express only what you need but also exactly everything you need.

Learn how to build a full stack Angular application that uses GraphQL to fetch data from a server.

Learn to implement tracking for multiple delivery services in a single GraphQL schema.

Learn to build a GraphQL API with IBM API Connect using the MongoDB Atlas Data API without writing any code. Customize the generated GraphQL schemas and mix an additional REST API into custom GraphQL API.

Learn how to create a GraphQL API for a Firebase realtime database using REST APIs. This GraphQL API helps to query, mutate data and make combinations between different entities.

Pagination maintains the application's efficiency by receiving data in subsequent requests. Discover how it works in GraphQL and how to implement it using IBM API Connect.

Generate static documentation based on GraphQL SDL using GraphQL API templates and SpectaQL.

Learn about scalar types and how you can add your own scalars to your GraphQL schemas. Besides the built-in scalars, you can create your own scalar types or use the scalars provided by other tools and libraries.

Learn how to implement a robust JWT login flow using Auth0, Next.js, and GraphQL to enhance security in your frontend applications.