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.
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.
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.
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