Using an MCP (Model Context Protocol) gateway to unify context across multi-step LLM workflows
Blog post from Portkey
Model Context Protocol (MCP) is increasingly becoming essential for managing context in complex language model workflows, yet current implementations face significant challenges such as fragmentation, lack of security, and inconsistent integration across tools and models. These limitations result in systems that are difficult to scale and manage, often lacking centralized access control, audit logging, and compliance enforcement. Additionally, fragmented APIs and tool integration lead to increased integration overhead, while a lack of observability and cost tracking makes it hard to measure performance bottlenecks and manage budgets. The introduction of an MCP gateway aims to address these operational gaps by providing a unified control plane for context-aware workflows, facilitating access control, audit logging, compliance enforcement, and consistent input/output formats. It also offers plug-and-play support for tools and APIs, end-to-end tracing, tool performance metrics, and comprehensive cost tracking, ultimately helping enterprises move from experimentation to production with their language model stacks. Portkey is developing such a managed MCP gateway to support enterprise-level implementation of these capabilities.
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