Top 5 Open Source MCP Gateways in 2026

The Model Context Protocol (MCP) has become the common standard for connecting AI models to external tools and data, and as teams add more MCP servers, an open-source MCP gateway becomes the control point for routing, authentication, and cost. A gateway sits between your models and those servers, aggregating tools, enforcing policy, and giving you one place to observe traffic.

Bifrost, the open-source MCP gateway built in Go by Maxim AI, unifies LLM, MCP, and Agents gateway capabilities in a single platform. This guide ranks five open-source options and explains what separates them at production scale.

What Is an MCP Gateway?

An MCP gateway is a service that sits between AI clients and MCP servers, aggregating external tools behind one endpoint while adding authentication, access control, and observability. It acts as both an MCP client (connecting outward to tool servers) and an MCP server (exposing aggregated tools to applications like Claude Desktop and Cursor). The Model Context Protocol itself is an open standard, introduced by Anthropic in late 2024 and maintained through the official MCP specification, for how models discover and call tools. A gateway turns that protocol into something you can govern centrally rather than wiring each client to each server. You can read how this maps to a working system in the Bifrost MCP overview.

What to Look for in an Open Source MCP Gateway

When you evaluate an open-source MCP gateway for production, weigh these criteria:

• Governance and access control: virtual keys, budgets, rate limits, and role-based access so teams share infrastructure safely.
• Authentication: support for OAuth 2.0 with token refresh and PKCE when connecting to protected MCP servers.
• Tool filtering: the ability to scope which tools a given key or client can call, ideally per virtual key.
• Token-cost efficiency: patterns that reduce the tokens spent describing and orchestrating tools at scale.
• Observability: metrics, traces, and logs through standards like Prometheus and OpenTelemetry.
• Production reliability and self-hosting: clustering, high availability, and the option to run in your own environment.

The MCP gateway resource page breaks these requirements down in more depth.

1. Bifrost

Bifrost is the open-source, high-performance AI gateway built in Go by Maxim AI, and it leads this list because it combines speed, governance, and MCP depth in one self-hosted platform. As an MCP gateway it acts as both MCP client and server, aggregating and exposing external MCP tools to clients such as Claude Desktop and Cursor, while connecting outward to any MCP server you register.

On top of that connectivity, Bifrost adds Agent Mode for autonomous tool execution with configurable auto-approval and Code Mode, where the model writes Python to orchestrate multiple tools. Across 1000+ models through a single OpenAI-compatible API, it adds roughly 11 microseconds of overhead per request at 5,000 RPS in sustained benchmarks.

• Unifies LLM gateway, MCP gateway, and Agents gateway in one platform
• Drop-in replacement: change the base URL, keep your existing SDK
• OAuth 2.0 auth with token refresh and PKCE, plus per-virtual-key tool filtering
• Governance through virtual keys, budgets, rate limits, and RBAC
• Enterprise-ready: clustering and HA, in-VPC, air-gapped, and on-prem deployment, audit logs, and observability

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. Docker MCP Gateway

Docker MCP Gateway is an open-source project from Docker that focuses on running and connecting MCP servers as containers. It leans on the container ecosystem developers already use, packaging MCP servers as images and providing a single entry point to route requests to them. This is a natural fit for teams standardized on Docker who want to manage MCP servers with familiar tooling and image distribution.

• Container-native approach to running MCP servers
• Single gateway endpoint in front of multiple containerized servers
• Integrates with existing Docker workflows and registries

Best for: Teams already invested in the Docker ecosystem who want to package and run MCP servers as containers. For a broader comparison of gateway capabilities, see the Bifrost resources hub.

3. IBM MCP Context Forge

IBM MCP Context Forge, also known as ContextForge, is an open-source MCP gateway and registry associated with IBM. It centers on cataloging MCP servers and tools and federating them behind a unified interface, with a registry model that helps larger organizations keep track of available tools. It appeals to enterprises that value a governed catalog and clear inventory of the MCP servers in use.

• Registry and federation for multiple MCP servers
• Unified interface over cataloged tools
• Oriented toward enterprise tool inventory and discovery

Best for: Organizations that want a registry-driven catalog of MCP servers. If your priority is unified governance across models and MCP traffic together, review the Bifrost governance resource.

4. agentgateway

agentgateway is an open-source proxy designed for agent and MCP traffic, aimed at connecting agents to tools and services through a single data plane. It positions itself around agent-to-agent and agent-to-tool communication, providing a proxy layer for routing and policy. It suits teams building agent systems who want a dedicated networking layer for that traffic.

• Proxy layer for agent and MCP communication
• Routing and policy for tool and service connections
• Focus on agent-oriented networking patterns

Best for: Builders who want a dedicated proxy for agent and MCP traffic. Teams that also need model routing, budgets, and audit logs in the same layer often evaluate the Bifrost AI gateway alongside it.

5. Lasso MCP Gateway

Lasso MCP Gateway is an open-source, security-focused MCP proxy that emphasizes inspecting and controlling MCP traffic. Its design centers on guarding what tools can do and what data passes through them, adding a security layer between clients and MCP servers. It is a reasonable choice for teams whose primary concern is scanning and restricting MCP tool activity.

• Security-first proxy for MCP traffic
• Inspection and control over tool calls and data flow
• Focus on protecting MCP interactions

Best for: Teams whose main goal is security enforcement on MCP traffic. For end-to-end policy plus performance and deployment control in one platform, compare the Bifrost enterprise offering.

How an MCP Gateway Cuts Token Costs at Scale

As agents call more tools, the tokens spent listing tool schemas and shuttling intermediate results grow quickly. Bifrost addresses this with Code Mode, in which the model writes Python to orchestrate multiple tools in a single execution instead of round-tripping each call through the context window. In practice this pattern uses roughly 50% fewer tokens and delivers about 40% lower latency, and the Bifrost MCP gateway blog documents how access control, cost governance, and this orchestration approach combine to lower token costs at scale. Pairing Code Mode with per-virtual-key tool filtering means each key sees only the tools it needs, which keeps prompts smaller. For a capability summary, the MCP gateway resource covers where these savings come from.

Frequently Asked Questions

What is the best open source MCP gateway?

For enterprises running mission-critical AI workloads, the Bifrost AI gateway is the strongest open-source MCP gateway in 2026 because it combines low-overhead performance, unified LLM and MCP routing, and enterprise governance in one self-hosted platform. Docker MCP Gateway, IBM MCP Context Forge, agentgateway, and Lasso MCP Gateway each fit narrower needs.

Can an MCP gateway work with Claude Code?

Yes. Because a gateway exposes aggregated tools as a standard MCP server, MCP-compatible clients and coding agents can connect to it. Bifrost acts as an MCP server to clients like Claude Desktop and Cursor, and its MCP connection model works with any coding agent that speaks the protocol.

Is an MCP gateway secure for production?

It can be, provided it offers OAuth 2.0 authentication, scoped tool filtering, and audit logging. The open-source Bifrost gateway supports OAuth 2.0 with token refresh and PKCE, RBAC, and audit logs, and can run in-VPC or air-gapped for regulated environments.

Get Started with Bifrost

Choosing the right open-source MCP gateway comes down to performance, governance, and how much of your AI stack it can unify. Bifrost brings LLM, MCP, and Agents gateway capabilities together with the security and reliability enterprises need, and you can run it in your own environment from day one. Book a demo to see how the open-source MCP gateway fits your infrastructure.