In This Article
- MCP Gateways for Enterprise Teams: The Short Answer
- What an MCP gateway is, and why the protocol needs…
- MCP gateways compared
- Registries and gateways are not the same product
- The security model MCP introduces
- Open source or commercial
- How to choose an MCP gateway
- Where Xylity fits
- Frequently Asked Questions
- Go Deeper
- Related Reading
MCP Gateways for Enterprise Teams: The Short Answer
The best MCP gateways in 2026 are TrueFoundry for a centralised control plane with OAuth identity injection, per-tool RBAC and immutable audit logs; Lunar MCPX for pre-production validation, with an MIT-licensed core and a sandbox for testing servers before approval; IBM ContextForge for a self-hosted open-source gateway and registry with per-user OAuth token storage; Bifrost for an open-source Go gateway focused on authentication and tool-level authorization; and MintMCP for managed enterprise governance with SSO and SCIM-driven RBAC. The reason this category exists is simple: the MCP specification defines how a client proves identity to a server and says nothing about which user may call which tool.
What an MCP gateway is, and why the protocol needs one
The Model Context Protocol has become the standard wire format between agents and tools. Standardising the connection solved real integration pain and left the production problems untouched: authentication, authorization, auditing, rate limiting, credential governance and discovery of approved servers.
A gateway sits between your agents and your tools as a control plane. It enforces policy on every tool call, brokers credentials so they never reach the agent, and gives IT one place to govern access.
The gap it closes is precise and worth stating plainly. The specification covers how a client proves its identity to a server. It does not cover which employee may reach which tool on which server. That authorization question is the hardest part of running MCP in an enterprise, and nothing in the protocol answers it.
MCP gateways compared
| Gateway | Deployment | Licence | Distinctive capability | Trade-off |
|---|---|---|---|---|
| TrueFoundry | Self-host or managed | Commercial | OAuth identity injection, per-tool RBAC, immutable audit | Adopting the gateway means adopting the wider platform |
| Lunar MCPX | Self-host or hosted | MIT core, commercial enterprise tier | Pre-production sandbox; hardened tool variants | Newer entrant; smaller ecosystem |
| IBM ContextForge | Self-host | Open source | Gateway and registry over MCP, A2A and REST; per-user OAuth tokens | You operate it |
| Bifrost | Self-host | Open source (Go) | Authentication, tool-level authorization and audit in one point | Narrower scope than full platforms |
| MintMCP | Managed SaaS | Commercial | SSO, SCIM-driven RBAC, agent governance layer | SaaS-first deployment |
| Composio | Managed | Commercial | Large tool integration surface | Most servers onboarded in-house rather than from a catalogue |
| Obot | Self-host | Open source | Open-source control plane with risk evaluation | Smaller commercial support surface |
Registries and gateways are not the same product
These get conflated constantly, and buying one when you needed the other wastes a quarter.
A registry is a discovery and approval layer: a catalogue of which MCP servers exist, what they expose, and which have been sanctioned for use. It answers what is available and what is allowed.
A gateway enforces at runtime: who is calling, whether this call is permitted, which credential to use, what to log. It answers what actually happens when an agent reaches for a tool.
Most enterprises eventually need both, and some products do both. The distinction matters during evaluation because a registry with no enforcement gives you an approved-server list that nothing checks, and a gateway with no registry gives you enforcement over a catalogue nobody curated.
The security model MCP introduces
MCP creates an attack surface that traditional API gateways were not designed for, because the caller is a language model making judgement calls rather than a program following a contract.
Tool poisoning
Tool descriptions are prompt content. A malicious or compromised server can embed instructions in a tool description that the agent reads as guidance. Gateways that let security teams rewrite descriptions and constrain actions before approval address this directly, which is the argument for pre-production validation.
Credential sprawl
Fifteen servers with fifteen credential sets, distributed across agent configurations, is a secrets-management failure waiting to happen. Credential brokering at the gateway means the agent never holds a credential at all.
Indirect prompt injection reaching tools
Content retrieved by one tool can carry instructions that influence the next tool call. This is the same class of problem runtime guardrails address at the model boundary, and the gateway is where it is enforced at the action boundary. Both are needed; neither substitutes for the other.
An agent with access to every approved tool is over-permissioned by default. Per-agent identity and tool-level scoping mean a compromised or confused agent is bounded by what it was specifically granted, which is the single highest-value control in this category.
Open source or commercial
The licence split here is unusually favourable to buyers. Several credible gateways are genuinely open source — ContextForge, Bifrost, Obot, and the MCPX core under MIT — while the commercial platforms compete on managed deployment, identity integration and governance depth rather than on basic functionality.
Two trade-offs recur. Adopting a gateway that is part of a wider platform can mean adopting the platform, which is a larger commitment than the component you came for. And managed SaaS removes weeks of infrastructure work at the cost of routing tool-call metadata through a third party, which is a data decision in regulated environments.
For teams already running an API gateway, the honest question is whether this belongs in existing infrastructure or beside it. That is an architecture decision that sits with cloud and platform engineering rather than with the AI team alone.
How to choose an MCP gateway
Count your servers and project forward. Two servers do not need a gateway. Fifteen do, and the credential and token-cost problems arrive before the security ones.
Decide registry, gateway, or both. Discovery and approval is a different product from runtime enforcement. Know which gap you are filling.
Require per-agent identity and tool-level scoping. Per-server permissions are too coarse. The control that matters is which agent may call which tool.
Check credential brokering. The agent should never hold a credential. If it does, the gateway is a router rather than a control plane.
Ask about pre-approval validation. Tool descriptions are prompt content, so testing servers for data exposure before approving them is a real control, not a nicety.
Confirm the audit trail is immutable and joinable. Tool-call logs need to reconcile with your agent traces, or incident review becomes archaeology.
Where Xylity fits
Standing up a gateway is straightforward. Deciding which agents may reach which systems, brokering credentials without breaking developer workflow, and producing an audit trail that satisfies a security review is an identity and governance programme that happens to involve AI.
Xylity operates as a consulting-led contingent talent partner, so specialists work inside your existing platform team. Matching runs through four consulting-led stages from a curated network of 200+ delivery partners, with nine in ten first profiles accepted. Teams commonly add an AI architect for the agent and policy design alongside a cloud specialist for identity and deployment. The security dimension overlaps with our cloud security practice, and the agent programme itself with enterprise AI agents.
Regulated environments raise the stakes rather than changing the design. A BFSI deployment needs per-tool authorization mapped to existing entitlements, not a parallel permission model, and a healthcare deployment has to treat tool-call logs as containing protected data.
Adjacent reading: LLM gateways, which solve the model-request side of the same architecture, and agent frameworks for what sits above.
Frequently Asked Questions
Not for two or three servers wired to a single agent. You need one when server count grows, when more than one team is connecting agents to internal systems, or when someone asks which agent called which tool last Tuesday. The pressures usually arrive in that order: credential sprawl and token cost first, then access control, then audit. Most teams reach for a gateway after the second.
A registry is discovery and approval: a catalogue of available servers and which have been sanctioned. A gateway is runtime enforcement: who is calling, whether the call is permitted, which credential to use, what gets logged. Most enterprises need both, and some products provide both. A registry without enforcement is a list nothing checks; a gateway without a registry enforces over an uncurated catalogue.
Partly, and the gap is the point. The specification defines how a client proves its identity to a server through OAuth flows. It does not define which employee may reach which tool on which server. That authorization layer, along with credential brokering, rate limiting and audit, is what a gateway supplies, and it is the hardest part of running MCP in an enterprise.
Three stand out. Tool poisoning, where a server embeds instructions in a tool description that the agent reads as guidance, since descriptions are prompt content. Credential sprawl, where each server carries its own credentials distributed across agent configurations. And indirect prompt injection, where content returned by one tool influences the next tool call. Gateways address these through pre-approval validation, credential brokering and per-tool scoping respectively.
Key Takeaway
MCP standardised the connection and left governance open. A gateway supplies the authorization, credential brokering and audit the protocol does not. Require per-agent identity and tool-level scoping rather than per-server permissions, insist the agent never holds a credential, and make sure tool-call logs reconcile with your agent traces. See how Xylity secures agent deployments.
Go Deeper
Continue building your understanding with these related resources.
An MCP gateway rollout is an identity project, a platform project and an AI project at once. Xylity's curated network of 200+ delivery partners across 20+ technology domains means those three workstreams can run together rather than waiting on each other.
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Agents reaching production systems?
Specialists who treat tool access as an authorization problem, not a config file.
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