Choosing the right MCP gateway for Claude comes down to token overhead, transport compatibility, and governance depth. Here are five options worth considering for production deployments.
Claude has native Model Context Protocol support across Claude Code, Claude Desktop, and Claude Web. In practice, this means you can hook up a filesystem server, a GitHub integration, and a Postgres tool and run them all from a single Claude session. The protocol itself works well. The challenge surfaces when the number of connected servers starts climbing.
Each MCP server you attach to Claude injects its full set of tool definitions into the context window before Claude starts processing your prompt. A developer who connected 84 tools across several servers found that 15,540 tokens were consumed at session startup, before Claude touched a single line of their actual task. Scale that to a team with a dozen servers and 15-20 tools each, and you are spending a meaningful fraction of every request just loading definitions for tools that will never run.
An MCP gateway solves this by replacing multiple direct server connections with a single control plane. Claude points at one endpoint. The gateway takes care of tool discovery, routing, authentication, and access scoping behind the scenes. This guide looks at five gateways on the dimensions that matter specifically for Claude: transport compatibility, token efficiency, security posture, and how well they fit production engineering workflows.
What to Evaluate Before Choosing
A few Claude-specific properties shape which gateways actually fit:
- Transport compatibility: Claude Code speaks HTTP and stdio. Claude Desktop works over stdio. Claude Web connects via remote HTTP with OAuth. A gateway that covers only one transport type locks you out of certain Claude surfaces.
- Tool scoping: By default, Claude loads every tool definition from every connected server on every request. A gateway that restricts which tools are visible per consumer reduces that overhead directly, making scoping a cost control mechanism, not just a security feature.
- OAuth 2.1: The June 2025 MCP spec update added OAuth 2.1, and enterprise Claude deployments increasingly require it for identity provider integration. Proper implementation matters for Claude Web and Claude Code to authenticate cleanly against Okta, Entra ID, or similar systems.
- Single endpoint: Claude's config model handles one entry per server. A gateway that aggregates all tools through one URL keeps configuration manageable as your tool inventory grows.
1. Bifrost
Best for: Claude Code and Claude Desktop teams that need enterprise governance, token optimization, and unified LLM and MCP management in one place
Bifrost is a Go-native, open-source AI gateway built by Maxim AI. It runs as both an MCP client (connecting to your upstream tool servers) and an MCP server (presenting a single aggregated endpoint to Claude). Claude sees all available tools through one connection, filtered by whatever access policies you have configured.
Wiring up Claude Code takes one CLI command:
claude mcp add --transport http bifrost http://localhost:8080/mcp
After that, every new MCP server you register in Bifrost shows up in Claude Code automatically. No client-side config changes required.
Bifrost's Claude Code integration also routes the underlying LLM through Bifrost's gateway layer. This means Claude Code can switch models to GPT-4o, Gemini, or any of the 20+ providers Bifrost supports, using the same CLI session without touching any configuration files. For teams managing costs across multiple models, that routing flexibility matters.
Reducing token overhead with Code Mode
Bifrost's Code Mode replaces classic tool calling with a different approach. Rather than sending all tool schemas with every request, the model generates Python code to orchestrate the tools it needs, pulling schemas on demand. Four meta-tools stand in for the full catalog. This cuts token consumption by 50% and execution time by 40% compared to standard tool calling across multiple servers, which is significant for Claude Code sessions already working in large codebases where context budget is tight.
Scoping tools per consumer
Tool filtering in Bifrost works at the virtual key level. A frontend developer's key exposes filesystem and GitHub tools. A data team key exposes query tools. The model only receives schemas for tools its key is permitted to use, so there is no way around the restriction at the prompt level, and neither team carries token overhead from the other's tool set.
Security model
Bifrost's default behavior is explicit approval: Claude's tool calls are treated as proposals, not commands. Execution requires a separate call from the application. Agent Mode enables autonomous execution for pre-approved tools when that is appropriate. OAuth 2.0 with automatic token refresh handles identity provider integration for enterprise environments.
The full architecture, including transport options and Code Mode configuration, is covered on the Bifrost MCP Gateway page. Bifrost is open source under Apache 2.0 and available on GitHub.
2. Cloudflare MCP
Best for: teams already on Cloudflare's network who want globally distributed MCP access without running their own gateway infrastructure
Cloudflare's MCP layer sits inside its Workers and AI Gateway products. MCP servers deployed as Workers benefit from Cloudflare's edge distribution, so Claude requests resolve to the nearest point of presence. TLS termination, DDoS mitigation, and basic access controls are handled at the edge without additional configuration. For teams where Cloudflare already manages API traffic, extending it to MCP means one fewer infrastructure system to operate.
The limitation for large-scale Claude Code deployments is governance depth. Cloudflare provides connectivity and edge-level security, but per-consumer tool scoping, hierarchical budget controls, and Code Mode-style token optimization are not in scope. It fits well as a connectivity layer for globally distributed teams; enterprise governance requires augmenting it with additional controls.
3. Composio
Best for: teams that want fast access to a large pre-built tool library and prefer a managed service over operating gateway infrastructure themselves
Composio runs as a managed MCP gateway with over 1,000 pre-integrated tools spanning SaaS applications, databases, APIs, and developer services. For Claude Code setups where the goal is to connect quickly to a broad range of external services, the library significantly reduces integration time. Composio handles server infrastructure, authentication flows, and tool version updates, so teams without a dedicated platform function can deploy MCP at scale without the operational overhead.
The tradeoff relative to self-hosted gateways is control. Managed execution, shared infrastructure, and limited per-request governance make Composio a poor fit for regulated industries with in-VPC or SOC 2 audit requirements. For teams that do not face those constraints and want fast coverage across a wide tool surface, it is a practical option.
4. Kong AI Gateway
Best for: organizations already running Kong Konnect who want MCP governance to live alongside existing API management policies
Kong introduced MCP support in AI Gateway 3.12 with an MCP Proxy plugin, OAuth 2.1, and dedicated Prometheus metrics for MCP traffic. For teams with an existing Kong deployment, this is a consolidation play: MCP policies sit in the same control plane as API policies, and MCP observability data flows into the same monitoring stack. Teams that have already built LLM dashboards in Grafana or Datadog can extend them to cover MCP tool invocations without additional instrumentation.
Kong is not purpose-built for MCP. Tool-level filtering, Code Mode optimization, and Claude-specific integration depth are not available. Teams evaluating MCP infrastructure from scratch will carry the cost of a general-purpose API gateway for a workload that only needs MCP governance. Teams already invested in Kong's ecosystem will find the consolidation benefit real.
5. Docker MCP Gateway
Best for: container-native engineering teams where MCP servers interact with sensitive systems and process-level isolation is a security requirement
Docker's MCP Gateway runs each server in a separate container with CPU and memory constraints. Images are signed for supply-chain integrity. A unified endpoint aggregates all servers so Claude connects once regardless of how many containers are running underneath. Any MCP server that writes to a filesystem, queries a database, or executes code is isolated from other servers and from the host, which sets a hard security boundary for Claude Code deployments running in production engineering environments.
Docker Desktop integration keeps local development close to production behavior, which reduces configuration drift between environments. Teams not already running container infrastructure will encounter orchestration overhead that gateways without container dependencies avoid.
Comparison Table
| Dimension | Bifrost | Cloudflare | Composio | Kong | Docker |
|---|---|---|---|---|---|
| Claude Code integration | Native (one command) | HTTP transport | HTTP transport | HTTP transport | HTTP transport |
| Claude Desktop support | Yes (STDIO + HTTP) | Limited | Limited | Limited | Yes (STDIO) |
| Token reduction (Code Mode) | Yes, 50% fewer tokens | No | No | No | No |
| Per-tool scoping per consumer | Yes (virtual keys) | Basic | Limited | Policy-based | No |
| Self-hosted / in-VPC | Yes | No (edge) | No (managed) | Yes | Yes |
| Open source | Yes (Apache 2.0) | No | No | No | Yes |
| OAuth 2.1 | Yes | Yes | Yes | Yes | Yes |
| Pre-built integrations | Bring your own | Cloudflare ecosystem | 1,000+ tools | Bring your own | Bring your own |
| Best fit | Enterprise Claude Code / Desktop | Edge-distributed teams | Fast SaaS coverage | Kong platform users | Container-first teams |
How to Choose
Bifrost is the right call if Claude Code or Claude Desktop is your primary agent surface and you need tool scoping, budget controls, audit logs, and token efficiency across multiple servers. It is the only option in this list that unifies LLM routing and MCP tool management in a single gateway without a platform dependency.
Cloudflare fits if latency distribution across geographies is the main constraint and your infrastructure is already on Cloudflare's network.
Composio fits if rapid integration across a wide tool surface matters more than compliance posture or per-request governance depth.
Kong fits if MCP policies need to sit inside an existing Kong deployment rather than introducing a separate gateway layer.
Docker fits if Claude agents are executing code or writing to filesystems in security-sensitive environments and container-level process isolation is a hard requirement.
Bifrost's Claude Code integration and MCP gateway are available open source on GitHub. For enterprise deployments with clustering, federated authentication, and dedicated support, book a demo with the Bifrost team.
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