Best MCP Gateways in 2026: 10 Ways to Govern Agent Tools

An MCP gateway is a single proxy that sits between the clients your people use and the MCP servers those clients call, and it holds the configuration, the credentials and the access rules in one place. That's the job in one sentence, and it's close to how Docker's own documentation describes its gateway. Everything else on this page is about which flavour of that proxy fits your team.

Twelve servers, nine keys and one awkward audit

Picture a platform team six months into agent work. Engineers have wired up MCP servers for the docs wiki, the ticketing system, the CRM, a read-only warehouse connection, a deploy tool and a handful of experiments nobody remembers starting. Each developer's client config holds its own copy of the tokens. Somebody leaves and you can't say with confidence which keys walked out with them. Security asks which agent called the deploy server last Tuesday, and the honest answer is a shrug.

That Tuesday question is the one a gateway answers from a single search. Instead of every client talking straight to every server, all traffic goes through one entry point. Credentials sit behind it, so the person at the keyboard never sees the raw token. Policy decides which role can reach which server and which tools on it. Every call lands in one log you can search. When the team grows from twelve servers to forty, you add them to the gateway once rather than to every laptop.

If you've only got two or three servers and a team of four, you probably don't need one yet. A shared config and a password manager will do. The pain arrives with headcount and with servers that can write, not just read.

Which type of gateway I'd pick

If you've got a container-heavy platform team and strict rules about where credentials sit, start with a self-run open source gateway. I'd only go that way if someone's name goes on the on-call rota for it on day one; an unowned proxy holding every token you have is worse than no proxy.

If you're a smaller AI team with no appetite for running infrastructure, go hosted and pick a tool built around MCP rather than a suite with MCP bolted on. What you're paying for is the server registry and the audit trail, so make the vendor show you both on your own servers before you sign.

If your company already runs an API management platform, ask that vendor about its MCP gateway first; one policy layer across all traffic is worth a lot to the people who'll operate it, and our roundup of API gateways covers that wider choice. And if you're still deciding which servers to connect at all, our guide to the best MCP servers is the place to start before you put a gateway in front of them.

Hosted MCP gateways, plus API platforms that added MCP

MCP Manager

Security teams wanting a hosted MCP gateway centred on a server registry, logging and observability will find this one squarely aimed at them.

Mintive (formerly MintMCP)

The renamed MintMCP, a hosted gateway that decides by role which company agents can reach which models, tools and data.

TrueFoundry

Enterprise AI platform pairing an AI gateway with an MCP gateway, plus SSO and prompt management, for organisations wanting one vendor across both.

Kong AI Gateway

Organisations that already run Kong in front of their APIs can stretch the same platform to govern LLM, MCP and agent traffic.

Tyk

Open source API management you can run self-managed on your own kit or hybrid, now with AI and MCP gateways, sensible where Tyk already fronts services.

Open source and source-available gateways you run yourself

Peta

Built around MCP from the start: a source-available control plane you host yourself, with a secret vault, audit trail and approval steps for agent actions.

Docker MCP Gateway

Docker's open source gateway, a natural first stop when your MCP servers already run in containers and you want credentials and access handled centrally.

agentgateway

A Linux Foundation project putting service, LLM and MCP traffic behind one open source proxy, for teams keeping the data path on their own infrastructure.

Obot

When you need a catalogue of approved MCP servers alongside the gateway, this open source control plane runs on your own kit or hosted.

LiteLLM

An open source AI gateway and LLM proxy, here for engineering teams that want model keys, spend tracking and guardrails governed in the same self-hosted layer.

Run a failure drill before you commit

Feature lists all look alike in this category, so test how the gateway behaves when things go wrong. Give yourself an afternoon and three real servers: one read-only (your docs search), one that writes to a low-risk system (a test ticket queue) and one you'd never want an agent to touch without permission (a staging deploy tool).

Start by creating two roles, say engineering and support, and allow support to reach only the docs server. Then try to break it. Log in as a support user and ask the agent to open a ticket. It should be refused, and the refusal should show up in the log with the user, the server and the tool name. Next, rotate the token for the ticket server in the gateway and confirm that clients carry on working without anyone editing a local config. That one check tells you whether credentials really live in the gateway or are merely passed through it.

Now remove a user from your identity provider and time how long it takes for their access to stop. Minutes is fine; next day isn't. Finally, stop the staging deploy server mid-session and see what the client gets back: a clear error the agent can report, or a hang. If the gateway has an approval step, trigger it and check who gets asked and where. By the end you'll know more than any demo would have shown you.

The three forks that shrink the shortlist

Self-run or hosted. Several of the gateways here are open source or source-available and meant to be self-hosted, while the hosted ones bill per user, per month plus usage or by custom quote. Self-running keeps credentials and logs inside your network, which is often the deciding point for regulated teams. The price is that you own upgrades, uptime and the pager. Hosted control planes give you a dashboard on day one and push the operations work onto someone else.

MCP only, or MCP plus model traffic. Six of the ten carry model traffic and MCP traffic in one product. If you've already put a proxy in front of your model providers, extending it to tools means one policy engine and one log instead of two. If you haven't, read our guide to the best LLM gateways before deciding, because buying two separate layers and then trying to join them later is the expensive route.

Focused tool or wider suite. A focused MCP gateway is usually quicker to stand up and easier to reason about. A suite that already manages your REST and event APIs gives you one place for rate limits, auth and analytics across everything. Which wins depends on who owns it. If the API team will run the gateway, the suite route fits how they already work; if a small AI platform group owns it, the focused tool will feel lighter.

What changed this year

Some names on older shortlists have gone. Portkey now presents itself as Prisma AIRS AI Gateway, and Lunar.dev has been acquired by Boomi, which is why neither appears as an entry here. Mintive is the new name for MintMCP, which now calls itself an MCP and LLM gateway after announcing a funding round. Meanwhile both API management platforms on this list now sell an MCP gateway next to their AI gateway.

So judge the product you can buy today, not the one in a comparison post from a year ago. Read the vendor's current home page before you book a demo, because the name and the pitch may have moved under you.

Where the money goes

Docker MCP Gateway, agentgateway, Obot and LiteLLM are open source and free to download, and one more is source-available with a free community plan you run on your own servers. For those, the real costs are the servers they run on and the engineering hours to keep them patched, monitored and wired into your identity provider. Don't skip that last part; a self-run gateway nobody owns becomes the weakest link in the chain it was meant to protect.

The paid tiers count the bill in different units, which is why I won't give you a single range: one prices per user per month, one adds usage on top of its plan, one sells a prepaid licence for software you host yourself, and one works by custom quote. Check each vendor's site for a free plan or trial before you book a demo, so you can run the failure drill without signing anything. Before you compare quotes, count the people who'll route through the gateway, because per-user pricing grows with headcount, not with the number of servers you connect.

Do you make MCP gateways or AI gateways? Tool makers can ask to be considered for a featured place on this list.

Mistakes that make a gateway pointless

• Letting developers keep their old direct connections "just for now". If any client can still reach a server without going through the gateway, your logs and policies have a hole in them.
• Writing one giant allow-all role to get started and never coming back to it. Start narrow and widen access when someone asks.
• Treating read and write servers the same. A docs search and a production write tool deserve different rules and, ideally, an approval step on the second.
• Buying for the server count you have today. The whole point is that the number will grow, so check how adding a server works before you sign.
• Ignoring where the logs go. If they can't reach your existing security tooling, nobody will read them.

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