MCP Gateway

TL;DR Bifrost's Code Mode reduces token usage by 50%+ and execution latency by 40-50% when working with multiple MCP servers. Instead of loading hundreds of tool schemas, it lets AI write TypeScript to orchestrate tools programmatically, enabling faster execution and lower costs. The Token Bloat Problem

AI agents are only as capable as the tools they can access. While Anthropic's Model Context Protocol (MCP) has standardized how agents discover and invoke external tools (from databases and file systems to APIs and SaaS platforms) connecting agents directly to dozens of MCP servers quickly becomes unmanageable

Build secure, production-grade AI agents with enterprise-level tool orchestration As AI applications evolve beyond simple chat interfaces, developers face a critical challenge: how do you enable AI models to interact with external tools, databases, and APIs safely and efficiently? Bifrost's Model Context Protocol (MCP) Gateway solves

As AI agents transition from experimental prototypes to production-critical infrastructure, Model Context Protocol (MCP) gateways have emerged as essential middleware for enterprise AI deployments. These gateways solve a fundamental challenge: how to securely connect AI models to external tools, databases, and APIs while maintaining enterprise-grade governance, observability, and