Best MCP Gateways for Claude Code in 2026

TL;DR

• An MCP gateway for Claude Code sits between Claude Code and your MCP servers and manages tool discovery, routing, authentication, and access control from one endpoint.
• Bifrost ranks first for teams: it aggregates MCP servers behind one /mcp endpoint, scopes tools per virtual key, supports six MCP auth types, and also routes Claude Code's LLM traffic.
• Claude Code's built-in tool search defers MCP tool definitions by default, but it turns off when ANTHROPIC_BASE_URL points to a non-first-party host, so tool filtering at the gateway still controls context size in many team setups.
• RaiAnsar's MCP Gateway and bzsasson's claude-mcp-server-gateway are lightweight lazy-loading proxies for individual developers; Fastn and Scalekit target organization-wide tool governance.

Claude Code is Anthropic's terminal-based coding agent. Claude Code reads codebases, runs shell commands, edits files, and opens pull requests from a single CLI session. When you extend it with Claude Code MCP servers, it can also query databases, search the web, interact with issue trackers, and call internal APIs. Bifrost, the open-source MCP gateway for Claude Code built in Go by Maxim AI, is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability.

The problem is architectural. Without tool search, every MCP server you connect to Claude Code registers its full tool schema into the context window at session start. A single server might expose 15 to 30 tools, each with a JSON schema that consumes hundreds of tokens. One developer analysis found over 15,500 tokens consumed by tool schemas from 84 tools before a single line of user code was processed.

Claude Code now enables tool search by default, which loads only tool names at session start, but disables it when ANTHROPIC_BASE_URL points to a non-first-party host and on models that do not support tool search.

An MCP gateway addresses both the context problem and the governance problem by sitting between Claude Code and your tool servers, acting as a single control plane that manages discovery, routing, authentication, and access control centrally. This post covers the five best MCP gateways for Claude Code in 2026, evaluated on token efficiency, native Claude compatibility, governance capabilities, and production readiness.

What to Look for in an MCP Gateway for Claude Code

A good MCP gateway for Claude Code keeps tool context small, works with the transports Claude Code supports, scopes tools per developer or team, logs every tool call, and scales beyond a single laptop. The practical guide to using an MCP gateway with Claude Code walks through each of these in a working setup. Before evaluating specific options, it helps to define what a well-built MCP gateway for Claude Code actually needs to do:

• Token efficiency: Reduce the number of tool schemas loaded into context per request, ideally through lazy loading or dynamic tool filtering
• Transport compatibility: Claude Code supports HTTP, SSE, and stdio servers. A gateway that restricts you to one limits your deployment options
• Authentication and access control: Production environments need per-team or per-developer tool scoping, not a single shared credential set
• Observability: Centralized logs, usage tracking, and audit trails matter when agents are operating on production infrastructure
• Enterprise readiness: Multi-node clustering, secrets management, and SSO integration separate infrastructure-grade gateways from developer utilities

The Claude Code gateway explainer covers how routing, governance, and cost control fit together when the same gateway also handles LLM traffic.

The 5 Best MCP Gateways for Claude Code in 2026

The five MCP gateways below split into three groups: Bifrost, a self-hosted gateway that governs both MCP tools and LLM traffic; two community lazy-loading proxies for individual developers; and two commercial platforms, Fastn and Scalekit, that focus on organization-wide tool access. Each entry lists what the gateway is best for. Teams evaluating this for a whole engineering organization, with per-developer tool policy, audit trails, and self-hosted deployment as requirements, should read the enterprise MCP gateway comparison for Claude Code instead.

1. Bifrost

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.

Bifrost is an open-source enterprise AI gateway built by Maxim AI. Bifrost operates as both an MCP client and an MCP server simultaneously, which lets one gateway aggregate, filter, and authenticate every tool Claude Code can reach. On the inbound side, it connects to your external MCP tool servers. On the outbound side, it exposes a single aggregated HTTP endpoint to Claude Code.

Connecting Claude Code to Bifrost requires one command:

claude mcp add --transport http bifrost http://localhost:8080/mcp \
  --header "Authorization: Bearer your-virtual-key" \
  --scope user

What makes Bifrost different from lightweight gateway utilities is the depth of its control layer. Virtual Keys let platform teams scope tool access per developer or per team. Engineering gets staging database access with a defined monthly token budget. Production database access sits behind a separate key entirely.

Claude Code's context only contains the tools relevant to that key, not every tool across every connected server. The result is fewer tokens consumed per request.

Virtual MCPs take this further: each one bundles a curated set of tools into its own endpoint at /mcp/<slug>, reachable only through the virtual keys it is attached to, so a frontend team and a data team can point Claude Code at different tool sets from the same gateway. For multi-step tool work, Code Mode exposes four generic tools and lets the model write Python that runs in a Starlark sandbox, which cut input tokens by 58.2% to 92.8% in Bifrost benchmarks as tool count grew.

Bifrost's semantic caching extends this efficiency to LLM calls routed through the gateway. The cache matches incoming prompts against prior ones by exact hash or by semantic similarity, so "How do I sort a list in Python?" and "Python list sort method?" can resolve to the same cache entry, and the model response is returned without a provider API call.

For authentication, Bifrost supports six MCP auth types, including admin OAuth 2.0 with automatic token refresh and PKCE, per-user OAuth so each developer authenticates to services like GitHub or Notion as themselves, and token exchange with your identity provider on enterprise deployments.

Additional capabilities relevant to production Claude Code deployments:

• Tool filtering to restrict which tools Claude Code can call per consumer
• Audit logs of administrative changes for compliance and security review
• Automatic failover across LLM providers, so Claude Code can fall back to a different model if Anthropic's API is rate-limited
• Budgets and rate limits at the virtual key level to prevent runaway agent spend
• In-VPC deployment for teams with strict data residency requirements

Bifrost is deployable in seconds via NPX or Docker, and the Claude Code integration guide is documented alongside integrations for Codex CLI, Gemini CLI, Cursor, and other coding agents.

npx -y @maximhq/bifrost
# OR
docker run -p 8080:8080 maximhq/bifrost

For teams operating Claude Code at scale, Bifrost combines tool aggregation, token efficiency, enterprise governance, and production-grade LLM routing across 10,000+ models from 25+ providers in a single deployable artifact.

2. MCP Gateway by RaiAnsar

Best for: Individual developers who want lazy-loading for open-source MCP servers

The RaiAnsar MCP Gateway is a community-built, MIT-licensed Python lazy-loading proxy that addresses the token bloat problem directly. Instead of registering all connected MCP server tool schemas at session start, it exposes four lightweight meta-tools to Claude Code: list available servers, load a specific server's tools, call a tool, and reload a server. Backend MCP servers only start when Claude Code explicitly requests them.

The efficiency gain is significant. Ten MCP servers behind the gateway contribute four tool schemas to context, not 100 to 300. The gateway supports both stdio and HTTP transports and handles connection caching so servers that stay in use are not re-initialized on every call.

Setup is straightforward:

git clone https://github.com/raiansar/mcp-gateway.git
cd mcp-gateway
./install.sh
claude mcp add gateway -- /path/to/mcp-gateway/run.sh

The tradeoff is scope. This gateway handles token efficiency for local MCP configurations but provides no gateway-level authentication, no access control, no audit logging, and no multi-user support. It is a solid choice for individual developers running multiple MCP servers locally, but it is not designed for team or enterprise use.

3. claude-mcp-server-gateway by bzsasson

Best for: Developers who want on-demand tool loading with project-scoped .mcp.json configuration

The bzsasson gateway takes a similar approach to RaiAnsar's implementation, also in Python, but exposes three meta-tools: list_available_mcps, load_mcp_tools, and call_mcp_tool. MCP servers only initialize when Claude Code requests a tool from them, reducing startup token consumption.

The gateway installs as a single Python subprocess and integrates with Claude Code's standard MCP config:

{
  "mcpServers": {
    "gateway": {
      "type": "stdio",
      "command": "/path/to/.venv/bin/python",
      "args": ["/path/to/claude-mcp-server-gateway/dcl_wrapper.py"]
    }
  }
}

It also supports project-scoped MCP configuration via .mcp.json in the project root, which is useful for teams where different projects use different tool sets. Like the RaiAnsar implementation, it has no access control layer, and its public repository last received a code push in October 2025. It is suitable for solo developers and small teams who want a config-only stdio setup.

4. Fastn MCP Gateway

Best for: Teams that want pre-integrated SaaS connectors without manual MCP server configuration

Fastn takes a different approach to the MCP gateway problem. Rather than acting as a proxy for self-managed MCP servers, it provides an integration platform with a catalog of 1,000+ pre-built connectors to SaaS services such as Slack, Gmail, and CRM systems, and markets its MCP gateway as scoped, audited tool access for agents. Teams select the services they want to enable, and Fastn exposes them to Claude Code through a single gateway endpoint.

This model reduces configuration overhead for teams that primarily want Claude Code to interact with standard SaaS tools. Fastn lists SOC 2, RBAC, and self-hosting on its security page. The tradeoff is focus: Fastn is built around its connector catalog, so teams that mainly need to connect Claude Code to proprietary databases, internal APIs, or custom MCP servers should confirm how those fit before committing.

5. Scalekit MCP Gateway

Best for: IT and security teams managing Claude Code deployments across engineering organizations

Scalekit's MCP gateway, offered as an early-access Agent Gateway, addresses the enterprise governance problem from an IT operations perspective rather than an infrastructure engineering perspective. Its core value proposition is centralized control: all Claude Code instances in an organization point to a single gateway URL, and IT configures access policies, monitors tool usage, and enforces authentication from that central point.

Key capabilities include SSO-based developer authentication, per-team tool access policies (granular to the specific tool action level, not just the server level), and audit logging for all agent-to-tool interactions. The gateway responds dynamically to tool discovery queries from Claude Code, surfacing only the tools that an authenticated developer's policy permits, which keeps context lean even when the organization has hundreds of approved MCP-enabled tools.

The Scalekit approach is well suited for organizations where IT governance is the primary concern and developer teams are consuming a centrally curated set of approved tools. For platform engineering teams that need to manage both tool access and LLM provider routing, Bifrost's combined gateway model may be a more complete fit.

How These Gateways Compare

The five MCP gateways differ most on access control and on whether they route LLM traffic as well as tools. The community proxies optimize token usage for one developer, while Bifrost, Fastn, and Scalekit add multi-user access policies. Only Bifrost also routes Claude Code's model requests.

Teams comparing token behavior in detail can read how an MCP gateway reduces Claude Code token usage, and the guide to monitoring Claude Code token usage through a gateway covers measurement.

How to Add an MCP Gateway to Claude Code

Adding an MCP gateway to Claude Code takes one claude mcp add command that registers the gateway's HTTP endpoint, optionally with an authorization header. After that, Claude Code sees one MCP server, and the gateway decides which upstream tools that server exposes to each developer.

The steps for Bifrost:

1. Start the gateway with npx -y @maximhq/bifrost or Docker, then connect your MCP servers in the Bifrost dashboard or config.
2. Create a virtual key per developer or team and attach the tools or Virtual MCPs that key should see.
3. Register the gateway in Claude Code with claude mcp add --transport http bifrost http://localhost:8080/mcp --header "Authorization: Bearer your-virtual-key".
4. Verify the connection by running /mcp inside Claude Code; bifrost should appear as connected with a tool count.

The --scope flag decides where Claude Code stores the gateway entry:

If the same Claude Code instance also routes model requests through Bifrost, turn off automatic tool injection on the LLM side so the same tool does not reach the model twice, and set ENABLE_TOOL_SEARCH explicitly if you want Claude Code's tool search to stay on with a non-first-party ANTHROPIC_BASE_URL. The step-by-step guide on how to connect Claude Code to an MCP gateway covers identity headers and troubleshooting.

Choosing the Right MCP Gateway

The right MCP gateway for Claude Code depends on the scale and context of your deployment:

• Solo developers optimizing local tool configurations: the RaiAnsar or bzsasson lazy-loading implementations reduce token overhead with minimal setup.
• Teams that mainly need SaaS connectors: Fastn's connector catalog reduces setup for standard business tools.
• IT-led rollouts of a curated tool catalog: Scalekit centers policy and SSO in one gateway URL.
• Platform engineering and AI infrastructure teams: Bifrost combines MCP tool aggregation, LLM provider routing, virtual key governance, semantic caching, and enterprise deployment in a single control plane.

For teams running Claude Code in production environments where cost, compliance, and multi-model flexibility all matter, the infrastructure layer matters as much as the tools it connects to. A gateway that handles only MCP aggregation leaves LLM routing and cost governance as separate problems. Bifrost handles all three in one deployment, and the guide to governing Claude Code usage across engineering teams covers the rollout side.

Frequently Asked Questions

What is an MCP gateway for Claude Code?

An MCP gateway for Claude Code is a single MCP server endpoint that sits in front of many upstream MCP servers. Claude Code connects to the gateway once, and the gateway handles tool discovery, authentication to each upstream server, per-developer access control, and logging. The complete MCP gateway guide explains the architecture in more depth.

How do you add MCP to Claude Code?

Run claude mcp add with a name and a transport. For a remote server or gateway, use claude mcp add --transport http <name> <url>, adding --header for an authorization token. For a local server, use claude mcp add <name> -- <command>. Run /mcp inside Claude Code to confirm the server is connected.

Does Claude Code still need an MCP gateway with tool search?

Tool search reduces the context cost of connecting many MCP servers, but it does not provide per-developer access control, centralized credentials, audit trails, or budgets. Claude Code also disables tool search when ANTHROPIC_BASE_URL points to a non-first-party host and on models that do not support it. Teams still use an MCP gateway for governance, and gateway-side tool filtering keeps context small either way.

How does an MCP gateway reduce Claude Code token costs?

An MCP gateway reduces Claude Code token costs by exposing only the tools each virtual key is allowed to use and by orchestrating multi-tool work more efficiently. Bifrost's Code Mode cut input tokens by 58.2% to 92.8% in benchmarks as tool count grew. The article on how to reduce Claude Code token costs with an MCP gateway walks through the configuration.

Can each developer authenticate to MCP servers as themselves?

Yes, with a gateway that supports per-user authentication. Bifrost's per-user OAuth lets each developer complete their own OAuth flow for services such as GitHub, Notion, or Sentry, and binds the resulting credential to that developer's identity rather than a shared key. Per-user headers cover services that use personal API keys instead of OAuth.

Is Bifrost open source?

Yes. Bifrost is open source under the Apache 2.0 license, written in Go, and runs self-hosted through NPX, Docker, or Kubernetes. Enterprise features such as clustering, audit logs, and in-VPC deployment are available for teams with stricter requirements. The same gateway handles Claude Code's MCP tools and its LLM requests.

Getting Started with Bifrost as Your MCP Gateway

Bifrost's MCP gateway capabilities are available as open-source software, and the Bifrost MCP gateway resource page summarizes the feature set. The Claude Code integration is fully documented, including provider configuration, virtual key setup, and advanced tool filtering options.

For teams that need multi-node clustering, token exchange with your identity provider, in-VPC deployment, or dedicated support, book a demo with the Bifrost team to discuss your deployment requirements.