MCP Gateway

Compare Classic MCP vs MCP Code Mode across token cost, latency, context footprint, and accuracy. See how Bifrost's Code Mode scales multi-server agent workflows. Production agents rarely live on a single MCP server. They route between a search server, a filesystem server, a CRM server, and three or

The hidden cost of multiple MCP servers compounds with every tool you add. Learn how token bloat, intermediate results, and governance gaps inflate agent spend. Every team building production AI agents eventually reaches the same moment: the agent works, more tools get connected, and then the bill arrives. The hidden

An MCP governance layer gives enterprise AI teams tool-level access control, audit trails, and cost visibility across every connected Model Context Protocol server. Model Context Protocol (MCP) adoption has moved faster than the infrastructure needed to govern it. Teams connect an MCP server for file access, another for search, a

Production AI systems need an MCP gateway with access control, auth, token efficiency, and audit trails. Here's the 2026 checklist and how Bifrost meets it. Model Context Protocol moved out of the pilot phase in 2026. Enterprises that started experimenting with MCP in 2025 are now running it

Track per-tool costs across MCP servers through Bifrost's gateway: per-execution audit logs, tool-scoped budgets, and unified cost attribution. As AI agents connect to more Model Context Protocol (MCP) servers, cost stops being a simple LLM token problem. A single agent run now spans filesystem calls, web searches, database

Connect Claude Code to 500+ MCP tools through Bifrost's single gateway endpoint. Centralize tool access, governance, and observability without config sprawl. Claude Code has become the default terminal agent for AI-assisted engineering, and the Model Context Protocol (MCP) ecosystem now exposes hundreds of tools across filesystem, database, web