MCP Gateway

Compare the top MCP gateways for production AI workloads in 2026 on performance, governance, audit, and tool orchestration for enterprise AI agents. The Model Context Protocol (MCP) has moved from a December 2024 specification to the default integration layer for production AI agents in less than 18 months. Choosing the

Learn what an MCP proxy server is, how the architecture works, and the production use cases where it secures and scales AI agent tool access. An MCP proxy server sits between AI clients and the external tool servers they need to call, brokering every tool discovery, authentication step, and execution

Compare the top enterprise MCP gateways for production AI agents in 2026 on governance, performance, audit, and tool orchestration for agentic workloads.

A side-by-side look at four MCP gateways, evaluated on latency, throughput, governance, and deployment fit for production AI workloads. TLDR: MCP adoption is climbing, and so is the operational overhead of wiring tool connections together across teams and agents. This piece walks through four MCP gateway options worth evaluating, Bifrost,

MCP authentication covers OAuth 2.1, API keys, and token management. Learn how Bifrost secures MCP servers with PKCE, automatic refresh, and per-user identity. MCP authentication is the layer that decides who can call tools on a Model Context Protocol server, what those callers can do, and how their credentials

Compare the top open-source MCP gateways for self-hosted AI infrastructure on performance, governance, token efficiency, and deployment flexibility in 2026. Teams running production AI agents in 2026 are increasingly choosing open-source MCP gateways for self-hosted AI infrastructure rather than managed services. The reasons are practical: data residency requirements, latency sensitivity