5 Best MCP Gateways for Developers in 2026
Compare the top MCP gateways for 2026, including Bifrost, Cloudflare, Kong, Docker, and Composio, with features, strengths, and ideal use cases.
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.
Here are the five best MCP gateways for developers in 2026, evaluated on performance, security, developer experience, and production readiness.
1. Bifrost
Platform Overview
Bifrost is a high-performance, open-source AI gateway built in Go by Maxim AI. It provides a unified OpenAI-compatible API across 20+ LLM providers 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.
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. This eliminates the need for per-client configuration across tools.
- Code Mode: When connecting 3+ MCP servers (150+ tools), Code Mode replaces direct tool exposure with four meta-tools. The LLM writes Python (Starlark) to orchestrate tools in a sandbox, reducing token usage by 50%+ and execution latency by 30-40% compared to classic MCP flows.
- 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.
- OAuth 2.0 authentication: Secure 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) to the gateway with zero manual configuration, automatically registering MCP tools.
- Enterprise governance: Virtual keys, budget management, rate limits, guardrails, vault support, and federated authentication for MCP cover enterprise-grade requirements.
Best For
Teams that need a combined LLM gateway and MCP gateway with low latency, open-source flexibility, and production-grade governance. Particularly strong for organizations running multiple MCP servers at scale where Code Mode's token and latency savings become significant.
2. Cloudflare MCP Server Portals
Platform Overview
Cloudflare extended its Workers platform with MCP Server Portals, a centralized gateway that presents all authorized MCP servers behind a single URL. 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
- Zero Trust integration for access control
- Built on Cloudflare Workers with a free tier of 100K requests/day
- Native TLS and edge caching
Best For
Teams already on the Cloudflare stack who want MCP gateway capabilities tightly integrated with their existing Zero Trust and Workers infrastructure.
3. Kong AI MCP Proxy
Platform Overview
Kong added first-class MCP support in Gateway 3.12 with the AI MCP Proxy plugin. It 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
- Rate limiting, authentication, and request routing inherited from Kong's core platform
- Plugin ecosystem for extending functionality
Best For
Organizations with existing Kong deployments that want to manage MCP traffic through the same infrastructure they use for REST APIs.
4. Docker MCP Gateway
Platform Overview
Docker's open-source MCP gateway runs each MCP server in its own container with cryptographically signed images and built-in secrets management. It fits naturally into container-native workflows.
Features
- Per-server container isolation
- Cryptographically signed images for supply chain security
- Built-in secrets management
- Docker Compose-based deployment
Best For
Teams with strong DevOps practices who want open-source, container-native MCP infrastructure and are comfortable owning the maintenance and scaling burden.
5. Composio
Platform Overview
Composio is a managed MCP gateway platform focused on breadth of integrations. It provides a single endpoint to a large library of pre-built, maintained tool connectors for popular SaaS applications.
Features
- 500+ managed integrations for SaaS applications (Slack, GitHub, Jira, and more)
- Unified authentication layer handling OAuth, API keys, and other credential types
- Native framework support for LangChain, CrewAI, and LlamaIndex
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.
Choosing the Right MCP Gateway
The right MCP gateway depends on your existing stack and priorities:
- Performance + unified LLM and MCP gateway: Bifrost
- Cloudflare-native infrastructure: Cloudflare MCP Server Portals
- Existing API gateway extension: Kong AI MCP Proxy
- Container-native, self-hosted: Docker MCP Gateway
- Managed integrations at scale: Composio
For teams building production AI agents that need both LLM routing and MCP tool orchestration, Bifrost offers the most complete single-gateway solution. Its Code Mode alone can cut token costs in half when working with multiple MCP servers, and the open-source core means no vendor lock-in on the gateway layer.
To see how Bifrost can simplify your AI infrastructure, book a demo with the Bifrost team.
