AgentBack: AI-native API/MCP framework for agents (agentback.dev)

AgentBack, a new AI-native API/Microservices Collaboration Platform (MCP) framework, has been announced, enhancing developer efficiency by streamlining how agents interact with REST endpoints and services. Built upon LoopBack 4's robust dependency injection core and tailored for modern environments (ESM and Node 22), AgentBack allows developers to manage a unified schema using only a single Zod contract, significantly reducing the risk of discrepancies across different API layers. This design ensures that any changes in the source schema automatically propagate throughout the system—eliminating manual synchronization tasks that plague conventional development stacks. The significance of AgentBack for the AI/ML community lies in how it facilitates seamless integration between various tools and APIs in a streamlined, consistent manner. By allowing agents to read and interact with APIs more intuitively through agent-readable documentation, including resource listings and performance reports, it empowers developers to leverage AI capabilities more effectively. This framework also introduces cost management features, such as route pricing and token-based access, which help optimize resource usage. Overall, AgentBack not only promotes improved operational efficiency but also provides a robust infrastructure for future AI-driven applications.