MCP Gateway

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. Enterprise MCP gateways have become the default control plane for AI agents that read repositories, query databases, and execute workflows on behalf of users. The Model Context Protocol

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

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

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

A complete guide to MCP gateways for enterprise AI teams: requirements, security risks, governance patterns, and how Bifrost delivers production-grade MCP infrastructure. Enterprise AI teams are deploying agents that read repositories, query databases, hit internal APIs, and execute actions on behalf of users. The infrastructure that makes this safe