MCP Gateway

AI agents are no longer simple chatbots generating text. Modern agentic systems orchestrate dozens of external tools, query databases, search the web, and execute multi-step workflows in real time. At the center of this shift is the Model Context Protocol (MCP), an open standard that allows AI models to

TL;DR: MCP (Model Context Protocol) gateways are becoming essential infrastructure for developers building tool-augmented AI agents. This article covers the five best options available in 2026, including Bifrost, LiteLLM, Cloudflare AI Gateway, Kong AI Gateway, and OpenRouter, with a breakdown of features, use cases, and what sets each

TL;DR As AI agents move from prototypes to production, MCP gateways have become critical infrastructure for managing tool access at scale. This guide evaluates five leading MCP gateways for teams that prioritize low latency and high throughput: Bifrost leads with 11-microsecond overhead at 5,000 RPS and unified

The Model Context Protocol (MCP), introduced by Anthropic in late 2024, has rapidly become the standard interface for connecting AI models to external tools, APIs, and data sources. As agentic AI workloads move from prototypes into production, the challenge shifts from connecting a single MCP server to managing dozens of

TL;DR: MCP gateways have become essential infrastructure for deploying AI agents at scale, providing centralized authentication, observability, and tool governance between agents and external services. This article compares five leading MCP gateway platforms: Bifrost, Docker MCP Gateway, TrueFoundry, Kong AI Gateway, and Lasso Security. Why MCP Gateways Matter in

The Model Context Protocol (MCP) is rapidly becoming the standard interface for connecting AI models to external tools, APIs, and data sources. As enterprises scale agentic AI deployments, with Gartner projecting that 40% of enterprise applications will embed autonomous AI agents by the end of 2026, the need for a