Best MCP Gateways in 2026 (Including the New Players)

Eighteen months ago, an MCP server was a weekend project: a script that let Claude or Cursor reach one tool. Then it multiplied. By December 2025, when Anthropic donated MCP to the Linux Foundation, there were more than 10,000 active public MCP servers and 97 million monthly SDK downloads. Enterprises woke up with dozens of agents reaching hundreds of tools, each one holding a credential and a write path into a real system, and no single place to see or control any of it.

That is the problem the MCP gateway showed up to solve, and in 2026 it became its own product category with real funding behind it. This guide walks the field: what a gateway is, why the security math forces one, who the players are, how to choose, and what to do when the gateway you pick doesn't cover a system you run. If you're still deciding whether you need MCP at all, start with MCP vs REST API; if you're wrestling with the servers themselves, why it's hard to connect business systems to AI agents covers that ground.

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What is an MCP gateway?

An MCP gateway is a control plane that sits between your AI agents and the MCP servers they call, handling authentication, routing, policy, and audit logging from one place. Instead of each agent connecting directly to each server with its own credentials, every request passes through the gateway, which decides whether it's allowed, sends it to the right server, and records what happened.

The shape is familiar if you've run an API gateway. The gateway is a reverse proxy for agent traffic: it terminates the connection, authenticates the caller, applies access policy, forwards the approved call to the backend MCP server, and returns the response while logging the exchange. The difference from a plain API gateway is that it speaks MCP. It understands tools, tool descriptions, and tool calls, so it can make decisions at the level of "this agent may call these three tools" rather than just "this IP may reach this host."

That tool-level control is the part that matters most. A backend MCP server might expose forty tools; the gateway can present a scoped view where a given agent sees only the two it's supposed to use. Authentication centralizes on standards like OAuth 2.1 and SSO through Okta or Microsoft Entra, so an agent gets a verifiable identity the same way a human does. And because every call runs through one point, the audit trail is complete instead of scattered across servers no one is watching.

Why do you need an MCP gateway?

You need an MCP gateway because most MCP servers are insecure by default, and connecting agents straight to them exposes credentials, enterprise data, and write access with no central control. The research on this is blunt. An Astrix Research analysis of more than 5,200 open-source MCP servers found that 88% require credentials, 53% rely on static API keys or long-lived tokens, and only 8.5% use OAuth, meaning the majority hand an agent a durable secret and hope for the best.

The code underneath is no safer. A separate Endor Labs study of 2,614 MCP implementations found 82% use file operations open to path traversal and 67% expose APIs prone to code injection. These are decades-old vulnerability classes showing up fresh in AI infrastructure, now reachable by an autonomous agent instead of a careful human.

Then there are the attacks unique to this layer. Invariant Labs demonstrated tool poisoning, where malicious instructions hidden inside a tool's description stay invisible to the user but get read and obeyed by the model. Prompt injection through tool output is the fastest-growing AI threat class, with security researchers reporting a five-fold year-over-year jump in reports. And because MCP servers spread through developers installing them ad hoc, most enterprises can't even list what they're running, which means shadow MCP servers holding production credentials that security never reviewed.

A gateway is the answer to all of it at once: one place to enforce OAuth instead of static keys, one place to scope which tools an agent can touch, one place to log every call, and one place to kill access when something looks wrong. It doesn't rewrite an insecure server's code, but it stops agents from reaching servers on trust alone.

What are the best MCP gateways in 2026?

The names below are the MCP gateways we know well enough to stand behind, from testing them ourselves and hearing about them from customers who run them in production. This is our honest read, not a ranked top-ten. We list them alphabetically on purpose, because the right gateway depends on your stack and your constraints, not on a leaderboard. New gateways launch almost every month, so this is not the whole field. If we've missed one you rate, tell us and we'll add it to the next edition.

AWS

Amazon Bedrock AgentCore Gateway is a fully-managed gateway that gives agents one secure entry point to tools, other agents, and models, with centralized credential management, both ingress and egress authentication, OAuth on-behalf-of token exchange, and human-approval gates for sensitive actions. It is the natural fit for teams already building on AWS that want MCP governance inside Bedrock.

Cloudflare

Cloudflare secures MCP at the network edge: MCP server portals with OAuth, AI Gateway between clients and models, and Cloudflare Gateway for shadow-MCP discovery and data-loss-prevention scanning. It suits organizations already on Cloudflare that want agent access controlled at the same layer as the rest of their traffic.

Composio

Composio is a connector-forward platform that exposes 850-plus pre-built, managed integrations (including enterprise systems like NetSuite) through one MCP endpoint, with managed OAuth and just-in-time tool discovery to keep the context window small. It is a fit for teams that want broad, ready-made SaaS coverage fast. Backed by a $25M Series A led by Lightspeed.

Docker

Docker's MCP Gateway runs each MCP server in an isolated container pulled from a catalog of 200-plus verified images, with built-in credential handling and one-click client integration. It is the natural pick for developer teams already in the Docker ecosystem that want container-grade isolation around every server. The gateway itself is open source.

Kong

Kong extends its mature API gateway to govern LLM, MCP, and agent-to-agent traffic on one control plane, and can auto-generate MCP servers from the REST APIs it already manages. It is the obvious choice for organizations already running Kong with a large API estate to expose. Open-source core with a commercial Konnect layer.

Lasso

Lasso is an open-source, security-first gateway that proxies MCP traffic to mask PII and secrets, risk-scores servers before they load, and blocks prompt injection at the boundary. It is built for security teams that want a self-run guardrail layer they can read and audit line by line.

Lunar (MCPX)

Lunar's MCPX is a lightweight, fully self-hosted gateway and aggregator with access control at the global, service, and tool level, roughly 4ms of overhead, and built-in audit logging and data-loss prevention. It fits teams that want every request to stay inside their own infrastructure. Open-source core with a commercial Enterprise edition.

Microsoft

Azure API Management governs MCP tool calls with the same policies it applies to any API, turns existing APIs into MCP tools, and adds content-safety scanning on tool-call arguments plus a central API Center discovery endpoint. It is a fit for enterprises standardized on Azure that want MCP folded into the API governance they already run.

MintMCP

MintMCP is a managed gateway built for regulated industries, hosting and governing MCP servers with SOC 2 Type II and HIPAA posture, automatic PII redaction, and full audit trails. It is a fit for compliance-heavy teams that want a hosted control plane rather than infrastructure to run themselves.

Obot

Obot pairs an MCP gateway with hosting, a registry, and a chat client in one open-source platform, adding Okta and Entra SSO plus anomaly detection in its paid Enterprise edition. Backed by a $35M seed, it suits teams that want an open, self-hosted control plane end to end.

StackOne

StackOne is AI-agent integration infrastructure with 430-plus pre-built integrations and 26,000-plus actions reachable over REST, MCP, A2A, and SDK, plus a connector builder, provider-native data models, dynamic tool discovery, and a prompt-injection defense layer. It is a fit for agent teams that need broad enterprise SaaS coverage with strong execution controls.

Truto

Truto is a connector-forward MCP platform with the deepest ERP and HR focus of the group (NetSuite, SAP Concur, Coupa, Workday), auto-generating MCP tools from API docs with zero-data-retention options. It is the pick for teams whose agents need finance and HR systems available out of the box.

TrueFoundry

TrueFoundry is an enterprise control plane that runs LLM and MCP traffic together with sub-3ms latency, a central registry, and RBAC through Okta or Entra, deployable self-hosted or air-gapped. Backed by a $19M Series A led by Intel Capital, it fits platform teams that want one plane for all their AI infrastructure.

Willow

Willow (formerly Webrix) is a governance layer that discovers every agent, tool, and MCP server across an org, including ungoverned ones, then generates task-scoped permissions at runtime and gives each agent a verifiable identity with one-click revocation, deployable as SaaS or fully air-gapped. Backed by a $7M seed led by Hetz Ventures.

How do you choose an MCP gateway?

Choose an MCP gateway on four questions: how you need to deploy it, how deep the governance goes, which connectors it gives you, and whether you want managed or open-source. Get those straight and the field above narrows fast.

Deployment is the first filter because it's the hardest constraint. If you're in a regulated sector or handle sensitive data, you may need self-hosted or fully air-gapped, which points you at TrueFoundry, Lunar, Obot, Lasso, or Willow. If you'd rather not run infrastructure, a managed option like MintMCP or Composio carries the operational load for you. Governance depth is the second question: for a security-first layer like Willow or Lasso, runtime policy, tool-level permissions, shadow-AI discovery, audit, and fast revocation are the whole product, while for a platform play like TrueFoundry or Kong they're one feature set among several. Match the depth to whoever will own the gateway: security, platform engineering, or the AI team.

The third question decides most evaluations: connectors. A gateway is the middle layer between your agents and your systems. Agents connect to the gateway, and the gateway reaches your backends through MCP servers and connectors, some shipped in the platform's catalog, some that you bring or build. So the question that matters is whether it actually covers the systems your business runs. For common SaaS, the catalogs are deep and you may be finished on day one. For enterprise backends configured differently at every customer, there's often a gap, and closing that gap means a custom connector built for your specific system. It's worth checking coverage against your real stack before you commit, because a gateway you love with a connector you're missing still leaves you with a build to do. Open-source versus managed is the fourth question, and it mostly follows from the first three: open source (Lasso, Obot, Lunar) when you want full control and have a team to run it, managed (MintMCP, Composio, Willow's hosted tiers) when you want speed and support.

How can Inovaflow help?

We build the custom MCP servers and connectors that sit behind a gateway, for the systems where a ready-made connector doesn't exist or doesn't fit. A gateway governs and routes well once the connectors are there; the work we do is making sure the connector to your hardest system is one of them. Two situations bring people to us.

If you build or sell an MCP gateway

When a customer needs a connector to a system your catalog doesn't cover, we build it, and you own the code. That's usually the enterprise long tail: SAP S/4HANA, NetSuite, Dynamics 365, Coupa, Workday. These are deep, idiosyncratic ERPs, and building a production MCP server for one is rarely as simple as wrapping a modern REST API; done from scratch, it can take months of learning the system, mapping its data model, building, and testing against its quirks before it's safe to ship. Building against exactly these systems is what we do, so a well-scoped connector runs EUR 3,000–15,000 depending on complexity and scope and lands in 1–2 weeks, with 2–4 weeks the standard range. The result fits how the target system actually behaves, including write operations that need a human to approve them where the risk calls for it.

If you're implementing an MCP gateway

If you're the buyer standing up a gateway rather than building one, you have four options, and we can help with three of them. First, pick a gateway from the list above and run it yourself, which is the right move when its catalog already covers your systems. Second, keep your chosen gateway and have us build any connector it's missing to a system you depend on, so the whole thing actually covers your stack. Third, have us stand up and configure the gateway internally for you, connectors included, then hand it over. Fourth, if you're still deciding, get a vendor-neutral read on which gateway fits your deployment, compliance needs, and systems, from people who build against all of them and aren't selling one. If any of that is the gap you're staring at, tell us what you're connecting.

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