Building AI agent workflows with the help of an MCP gateway
Blog post from Portkey
Agent workflows in AI applications are evolving from experimental prototypes to critical infrastructure, facing challenges due to the fragmentation of frameworks, which complicates integration and scalability. The MCP Gateway addresses these issues by providing a centralized control layer that standardizes agent workflows, allowing compatibility across different frameworks and models without the need for extensive rewrites. This gateway enhances security, observability, and infrastructure capabilities, offering features like intelligent request routing, caching, and load balancing to support high-volume workloads efficiently. By unifying access controls and providing end-to-end visibility, it simplifies integration and governance, transforming agent development into a streamlined, production-ready process, free from the limitations of framework lock-in and inefficient infrastructure.
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