Best AI Gateways for Centralized MCP Tool Routing

TL;DR: As AI agents move into production, MCP gateways have become essential infrastructure for centralized tool routing, security, and observability. Bifrost leads with unified LLM and MCP routing at microsecond-level latency. Kong AI Gateway, Lasso Security, MintMCP, and IBM ContextForge each serve distinct use cases ranging from security-first deployments to multi-cluster federation.

Why MCP Gateways Matter for Tool Routing

The Model Context Protocol (MCP), introduced by Anthropic in late 2024, has become the standard interface for connecting AI models to external tools, APIs, and data sources. But connecting agents directly to dozens of MCP servers creates what engineers call the N×M integration problem: every agent needs its own authentication, routing logic, and error handling for every tool it accesses. The result is brittle architecture that collapses under production load.

An MCP gateway solves this by acting as a centralized control plane. All agent-to-tool traffic flows through a single governed endpoint that handles routing, authentication, rate limiting, and observability. Gartner projects that by 2026, 75% of API gateway vendors will integrate MCP features as autonomous AI agents become embedded in enterprise applications.

Here are five AI gateways purpose-built for centralized MCP tool routing.

1. Bifrost

Platform Overview

Bifrost is an open-source, high-performance AI gateway written in Go that unifies LLM routing and MCP tool access through a single infrastructure layer. Built by Maxim (H3 Labs Inc.), Bifrost eliminates the need to deploy separate systems for model access and tool governance. It operates as both an MCP server and client simultaneously, enabling advanced routing, caching, and access control patterns that single-role gateways cannot achieve.

Organizations like Clinc, Thoughtful, and Atomicwork run Bifrost in production where both LLM routing and tool access are managed through one governed control plane.

Features

Bifrost's architecture delivers 11-microsecond latency overhead, making it one of the fastest gateways available for high-throughput AI workloads. Key capabilities include:

• Unified LLM and MCP gateway: A single OpenAI-compatible API routes requests across 12+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Mistral, Groq, Ollama, and others) while simultaneously managing MCP tool interactions.
• Native MCP integration: AI models access external tools including filesystem, web search, databases, and custom services through a standardized MCP interface. Agents discover available tools through Bifrost's gateway layer with centralized configuration controlling which tools are accessible to which teams.
• Code Mode: Reduces token usage by 50%+ for multi-tool orchestration. Instead of loading hundreds of tool schemas into context, AI models generate TypeScript orchestration code, dramatically cutting costs in complex agentic workflows.
• Semantic caching: Caches responses based on semantic similarity rather than exact match, reducing both latency and cost for repeated or near-duplicate queries.
• Enterprise governance: RBAC enforcement at the tool level, rate limiting to prevent runaway agent loops, automatic failover with weighted load balancing across providers, and built-in observability with native integration into Maxim AI's evaluation and observability platform.
• Open source under Apache 2.0: Full deployment flexibility with zero vendor lock-in.

Best For

Engineering teams that need MCP tool access unified with LLM routing, enterprise governance, ultra-low latency, and native observability in a single gateway.

2. Kong AI Gateway

Platform Overview

Kong AI Gateway extends Kong's established API management platform with AI-specific routing and transformation capabilities. Kong added MCP-aware features to its plugin ecosystem in 2025 and 2026, allowing teams already running Kong to extend their existing infrastructure to cover LLM and MCP traffic.

Features

Kong offers enterprise support contracts and SLAs, multi-cloud deployment options, and a mature plugin ecosystem for traffic management. MCP support is implemented through plugins rather than as a native first-class capability, which means complex MCP scenarios may require custom plugin development.

Best For

Engineering teams already operating Kong as their API management layer who need to extend existing infrastructure to cover MCP routing without adopting a new platform.

3. Lasso Security

Platform Overview

Lasso Security provides an open-source, security-first MCP gateway designed specifically for protecting agentic workflows. Launched in April 2025, it acts as a proxy and orchestrator that embeds security, governance, and monitoring capabilities into every MCP interaction. Lasso was named a 2024 Gartner Cool Vendor for AI Security.

Features

Lasso implements a triple-gate security pattern across three layers: AI (prompt filtering, PII detection), MCP (tool authorization, parameter validation), and API (rate limiting, authentication). Its plugin-based architecture supports real-time threat detection, MCP server reputation scoring that automatically blocks suspicious servers, and PII masking via Presidio integration. Structured JSON logging enables full audit trails.

Best For

Regulated industries and high-security environments where real-time threat detection, prompt injection prevention, and comprehensive audit trails are the top priority.

4. MintMCP

Platform Overview

MintMCP is a managed MCP gateway focused on rapid deployment and compliance. It converts local STDIO-based MCP servers into production-ready services with minimal configuration, wrapping them with OAuth/SSO authentication and audit logging without requiring code changes.

Features

MintMCP holds SOC 2 Type II certification, which eliminates months of procurement friction for teams in regulated industries. One-click deployment handles the infrastructure complexity, and Virtual MCP servers expose only the minimum required tools per role, enforcing least-privilege access. The platform has a partnership with Cursor for validated production coding environments.

Best For

Organizations that prioritize compliance and speed of deployment over low-level infrastructure control, particularly teams selling into healthcare, finance, or government verticals that need audited controls out of the box.

5. IBM ContextForge

Platform Overview

IBM ContextForge is a production-grade open-source AI gateway, registry, and proxy that federates tools, agents, models, and APIs into a single endpoint. It runs as a fully compliant MCP server and supports multi-cluster environments on Kubernetes.

Features

ContextForge provides multi-protocol support with REST-to-MCP translation, gRPC-to-MCP conversion, and agent gateway support for the A2A protocol. Its model gateway proxies LLM requests with OpenAI API spec compatibility across 8+ providers including watsonx, OpenAI, Anthropic, and Ollama. Multiple ContextForge instances automatically discover and share tool registries via mDNS without manual configuration.

Best For

Large distributed platform teams running multi-cluster Kubernetes environments that need coordinated gateway instances across regions and business units with auto-discovery and protocol translation.

How to Choose

The right MCP gateway depends on what your team is optimizing for. If you need a unified control plane for both LLM routing and tool governance with minimal latency overhead, Bifrost delivers the most complete feature set under an open-source license. Kong fits teams already invested in its API management ecosystem. Lasso is purpose-built for security-critical environments. MintMCP accelerates compliance-heavy deployments. ContextForge serves large-scale Kubernetes-native architectures.

For most engineering teams building production AI agents, the combination of native MCP support, Go-native performance, multi-provider routing, semantic caching, and enterprise governance makes Bifrost the strongest foundation for centralized MCP tool routing in 2026.

Ready to centralize your MCP tool routing? Get started with Bifrost or explore Maxim AI's evaluation and observability platform for end-to-end AI quality management.