5 Best MCP Gateways for Developers in 2026

TL;DR

• The best MCP gateways for developers put one control layer between AI agents and MCP servers, centralizing authentication, tool routing, observability, and governance.
• Bifrost is an open-source AI gateway that works as an LLM gateway and an MCP gateway in one deployment, with 11 microseconds of overhead per request at 5,000 RPS.
• Bifrost Code Mode cut input tokens by 58.2% to 92.8% in benchmarks as connected tools grew from 96 to 508.
• Cloudflare MCP Server Portals, Kong AI MCP Proxy, Docker MCP Gateway, and Composio each fit a narrower stack: Zero Trust, existing Kong deployments, local containers, or managed SaaS connectors.

AI agents in production need more than basic text generation. They need to interact with external tools, databases, filesystems, and APIs at runtime. The Model Context Protocol (MCP) provides the open standard for this, but connecting agents to multiple MCP servers directly creates a fragile architecture that breaks down at scale. An MCP gateway solves this by centralizing authentication, tool routing, observability, and governance into a single control plane between your agents and tool servers; Bifrost, the open-source AI gateway on GitHub, is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability.

Here are the five best MCP gateways for developers in 2026, evaluated on performance, security, developer experience, and production readiness.

What Is an MCP Gateway?

An MCP gateway is a control layer that sits between AI agents and the MCP servers they call, giving every client one endpoint for tool discovery, authentication, access policy, and logging. Without one, each agent, IDE, and coding assistant holds its own list of server URLs and credentials.

Developers usually reach for an MCP gateway once three problems show up together:

• Credential sprawl: every client stores its own API keys and OAuth tokens for every MCP server.
• Tool bloat: dozens of servers expose hundreds of tool definitions, and every definition consumes context-window tokens on every request.
• No audit trail: nobody can answer which agent called which tool, with which arguments, and when.

For a longer definition and the request path, see this guide to how an MCP gateway works for production AI agents and the breakdown of MCP gateway vs MCP proxy vs MCP server. The Bifrost MCP gateway resource page covers the architecture in more depth.

How We Evaluated These MCP Gateways

Each MCP gateway on this list was scored against five criteria that matter to developers wiring agents into real tools. The criteria reflect day-to-day developer experience first and enterprise controls second, because a gateway that is hard to run locally rarely reaches production.

For a governance-heavy version of this evaluation, see our ranking of the best MCP gateways for production AI systems.

1. Bifrost (Open-Source MCP Gateway)

Platform Overview

Bifrost is a high-performance, open-source AI gateway built in Go by Maxim AI. Bifrost provides a unified OpenAI-compatible API across 25+ providers and 10,000+ models while also functioning as a full MCP gateway. Bifrost acts as both an MCP client (connecting to external tool servers) and an MCP server (exposing aggregated tools to external clients like Claude Desktop, Cursor, and Claude Code through a single /mcp endpoint).

What sets Bifrost apart from other MCP gateways is its dual role as an LLM gateway and an MCP gateway in a single binary. Teams get model routing, failover, caching, and tool orchestration from one deployment instead of stitching together separate infrastructure components. Bifrost adds 11 microseconds of overhead per request at 5,000 requests per second in sustained benchmarks.

Features

• MCP client and server in one: Connect to any number of external MCP servers via STDIO, HTTP, or SSE protocols, then expose all discovered tools to external MCP clients through a single gateway endpoint. Bifrost as an MCP gateway eliminates the need for per-client configuration across tools.
• Code Mode: When connecting 3+ MCP servers, Code Mode replaces direct tool exposure with four meta-tools. The LLM writes Python (Starlark) to orchestrate tools in a sandbox, reducing input tokens by 58.2% at 96 tools and by 92.8% at 508 tools, with around 40% faster execution in large deployments. The approach is explained in detail in how Code Mode cuts agent token costs.
• Agent Mode: Autonomous tool execution with configurable auto-approval allows trusted operations to run without human intervention while maintaining explicit control over sensitive tools.
• Per-virtual-key tool filtering: MCP tool filtering creates strict allow-lists per virtual key, so different teams or clients only access the tools they need.
• Six upstream auth modes: Bifrost supports None, Headers, OAuth 2.0, Per-User OAuth, Per-User Headers, and Token Exchange (enterprise), including OAuth authentication with automatic token refresh for connecting to protected MCP servers.
• Security-first design: Bifrost never automatically executes tool calls by default. All tool execution requires explicit API calls, ensuring human oversight for potentially dangerous operations.
• CLI agent integrations: The Bifrost CLI connects coding agents (Claude Code, Codex CLI, Gemini CLI, Opencode) to the gateway with zero manual configuration, and auto-attaches the Bifrost MCP server to Claude Code.
• Enterprise governance: Virtual keys, budget management, rate limits, guardrails, secret management with HashiCorp Vault, AWS Secrets Manager, or GCP Secret Manager, and Token Exchange for MCP cover enterprise-grade requirements.

Best For

Best for: Bifrost is built for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. It serves as a centralized AI gateway to route, govern, and secure all AI traffic across models and environments with ultra low latency. Bifrost unifies LLM gateway, MCP gateway, and Agents gateway capabilities into a single platform. Designed for regulated industries and strict enterprise requirements, it supports air-gapped deployments, VPC isolation, and on-prem infrastructure. It provides full control over data, access, and execution, along with robust security, policy enforcement, and governance capabilities.

2. Cloudflare MCP Server Portals

Platform Overview

Cloudflare MCP Server Portals are part of Cloudflare One and centralize multiple MCP servers onto a single HTTP endpoint managed through Cloudflare Access. Teams register servers with Cloudflare, and clients configure one Portal endpoint instead of individual server URLs.

Features

• Single-URL aggregation for all registered MCP servers, including OAuth-secured servers
• Zero Trust integration for access control through Cloudflare Access policies
• Tool curation and aliasing per portal, plus options that hide tool definitions to reduce context usage
• Portal logs per tool call, with optional DLP scanning when traffic routes through Cloudflare Gateway

Best For

Teams already on the Cloudflare stack who want MCP gateway capabilities tightly integrated with their existing Zero Trust infrastructure. Cloudflare Portals govern access to MCP servers; model routing, budgets, and failover sit in a separate AI gateway layer, such as Bifrost for model routing.

3. Kong MCP Gateway (AI MCP Proxy)

Platform Overview

Kong added first-class MCP support in Gateway 3.12 with the AI MCP Proxy plugin, available as part of the Kong AI Gateway Enterprise offering. The plugin translates between MCP and HTTP, allowing MCP clients to call existing REST APIs through Kong without rewriting them as MCP servers.

Features

• MCP-to-HTTP translation for existing REST APIs, plus a passthrough mode for upstream MCP servers
• Rate limiting, authentication, and request routing inherited from Kong's core platform
• Per-tool ACL rules tied to Kong consumers and consumer groups (Gateway 3.13 and later)
• Plugin ecosystem for extending functionality

Best For

Organizations with existing Kong Enterprise deployments that want to manage MCP traffic through the same infrastructure they use for REST APIs. Teams comparing a plugin-based approach against a purpose-built gateway can read our overview of MCP gateways built for low-latency, high-throughput agents.

4. Docker MCP Gateway

Platform Overview

Docker MCP Gateway is Docker's open-source solution for orchestrating MCP servers. It runs each MCP server in its own container with restricted privileges, network access, and resource usage, and it injects required credentials before forwarding requests. Docker MCP Gateway fits naturally into container-native workflows, running as the docker mcp CLI plugin and in the background of Docker Desktop when MCP Toolkit is enabled.

Features

• Per-server container isolation
• Docker-built and signed images in the MCP Catalog, with provenance and SBOM metadata
• Built-in secrets management through Docker Desktop and OAuth flows for service authentication
• Built-in logging and call tracing for tool activity

Best For

Teams with strong DevOps practices who want open-source, container-native MCP infrastructure and are comfortable owning the maintenance and scaling burden. For other self-hosted options, see our list of the best open-source MCP gateways in 2026.

5. Composio MCP Gateway

Platform Overview

Composio is a managed tool integration platform focused on breadth of integrations. Composio provides a single endpoint to a large library of pre-built, maintained tool connectors for popular SaaS applications, accessible as native tools through provider packages or over MCP.

Features

• 1,500+ managed app integrations for SaaS applications (Slack, GitHub, Jira, and more)
• Unified authentication layer handling OAuth, API keys, token refresh, and other credential types
• Native framework support for LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI Agents SDK, and Vercel AI SDK

Best For

Teams that need to connect AI agents to many third-party SaaS tools quickly and prefer a managed platform over self-hosted infrastructure. Composio connects tools; model routing, budgets, and failover still need an LLM gateway layer.

Best MCP Gateways for Developers Compared Side by Side

The five best MCP gateways for developers differ most on deployment model and on whether they handle LLM traffic as well as tool traffic. Bifrost routes model requests and MCP tool calls through the same deployment, which removes a second gateway from the stack.

Bifrost details such as in-VPC deployments and Virtual MCPs are covered in the docs. A security-focused comparison lives in the best MCP gateways for security and compliance.

Choosing the Right MCP Gateway

The right MCP gateway depends on your existing stack and priorities: pick the tool whose deployment model matches where your agents already run, then check that it scopes tools per client and logs every call. Developers building agents that also call several LLM providers get the most from a gateway that handles both.

For teams building production AI agents that need both LLM routing and MCP tool orchestration, the Bifrost AI gateway handles LLM routing and MCP tool orchestration in one gateway. Bifrost Code Mode alone cut input tokens by more than half in every benchmark round with multiple MCP servers, and the open-source core means no vendor lock-in on the gateway layer. Developers using Claude Code can follow this practical guide to using an MCP gateway with Claude Code, and the Bifrost MCP gateway deep dive on access control and cost governance shows the governance model at scale.

Frequently Asked Questions

What is the best MCP gateway for developers?

Bifrost is the best MCP gateway for developers who also route LLM traffic, because Bifrost handles model routing and MCP tool calls in one open-source deployment. Docker MCP Gateway suits local, container-first setups, Composio suits teams that want managed SaaS connectors, and Kong or Cloudflare suit teams already standardized on those platforms. Compare them in our wider ranking of production MCP gateways.

What is the difference between an MCP gateway and an MCP server?

An MCP server exposes a specific set of tools, such as a filesystem or a GitHub API, over the Model Context Protocol. An MCP gateway sits in front of many MCP servers and gives clients one endpoint, one authentication layer, and one audit log for all of them. Bifrost acts as both: an MCP client to upstream servers and an MCP server to clients like Cursor.

Is there an open-source MCP gateway?

Yes. Bifrost and Docker MCP Gateway are both open source and self-hostable. Bifrost is released on GitHub and runs via npx, Docker, or Kubernetes, while Docker MCP Gateway runs as a Docker CLI plugin. Cloudflare MCP Server Portals, Kong AI MCP Proxy, and Composio are commercial or managed offerings.

How does an MCP gateway reduce token costs?

An MCP gateway reduces token costs by controlling which tool definitions reach the model. Tool filtering removes tools a client does not need, and Bifrost Code Mode replaces hundreds of tool definitions with four meta-tools that load signatures on demand. Anthropic describes the same pattern in its engineering post on code execution with MCP.

How do MCP gateways handle authentication?

MCP gateways handle authentication in two directions: clients authenticate to the gateway, and the gateway authenticates to upstream MCP servers. Bifrost scopes clients by virtual key or OAuth and supports six upstream auth types, including per-user OAuth and Token Exchange. The MCP authorization specification defines the OAuth flow, and our guide to MCP authentication with OAuth and API keys covers the options.

Do I need an MCP gateway for Claude Code or Cursor?

A single developer with one or two MCP servers can configure them directly in Claude Code or Cursor. An MCP gateway becomes useful once a team shares servers, needs per-person tool access, or wants a log of every tool call. Bifrost connects to both clients through its /mcp endpoint, and the Bifrost CLI configures Claude Code, Codex CLI, and other coding agents automatically.

To see how Bifrost can simplify your AI infrastructure as an MCP gateway and LLM gateway in one, book a demo with the Bifrost team.