Apollo GraphQL's new MCP Server streamlines AI integration with APIs through the Model Context Protocol (MCP), offering a standardized interface for large language models and backend systems. This innovation reduces development overhead, governance issues, and accelerates AI feature delivery. By leveraging GraphQL for its scalable architecture, the server enables efficient multi-step operations and improved request management. Key insights from Matt DeBergalis highlight that reliable API interaction through natural language redefines software capabilities, addressing crucial policies and performance needs.
When AI can reliably interact with these systems, we unlock an entirely more capable kind of software where natural language becomes the interface to complex business operations.
GraphQL is a good candidate for an abstraction layer for orchestrating complex, policy-aware, multi-API workflows... core requirements for AI systems that interact with multiple backend APIs.
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