MCP Gateway for Teams: Centralize Access and Tool Use

An MCP gateway for teams gives everyone's AI tools one shared route to approved MCP servers. Setup and tool access are managed in one place instead of on every laptop. With MCPifex, you create server instances, choose which tools each allows, and point Claude, ChatGPT or Cursor at a single endpoint.

A team example

Picture a five-person product team that puts together a weekly report. Two people use an IDE agent, and one uses a desktop assistant. Everyone needs the same approved reporting data.

Without a gateway, each person installs the database server, pastes the database password into a local config, and decides for themselves whether the write tool should be on. Six months later, nobody knows which laptop has which password.

With a gateway, one person sets up a "Product reporting" instance with a read-only database account. Everyone else connects with an API key and nothing else to install. That's the whole idea. The rest of this guide is about doing it well.

When a gateway is worth it

A personal experiment on public data with no shared owner doesn't need one. A workflow that several people depend on does, because the hard questions become ordinary operational ones. Which database is this connected to? Who approved that tool? Who fixes the report when its owner is on vacation?

The MCP architecture overview separates the AI app, its clients and the servers they talk to. A gateway sits on that route. It doesn't replace your database's permissions or the app's own decisions. To weigh this against running servers yourself, see hosted vs self-hosted MCP.

Three different access questions

"Access" hides three separate decisions, and each is enforced in a different place:

They work as layers. The gateway refuses a disabled tool no matter what the model decides. The database credential limits what an enabled query can read. A human decides whether an export is appropriate.

Keep these apart when you evaluate any tool. "We have authentication" tells you how access starts. It doesn't tell you whether a credential can read every customer record.

Use instances as workflow boundaries

In MCPifex, an instance holds one server's configuration and its enabled tools. You save the credentials in the portal, pick the tools, run Test connection and generate an API key. The instances and tools docs cover the details.

For the reporting example, name the instance "Product reporting" and give it a database account meant for that job. Turn on schema inspection and queries, and leave the write tool off. Note the owner and the report that depends on it.

If another workflow needs different data or write access, make a separate instance with its own credentials and tools. Tool selection is per instance, so a second API key for the same instance doesn't create a second policy. And two instances that share one broad database account still share that account's reach.

Connect clients without spreading passwords

MCPifex runs the server package for you. Clients connect to https://mcpifex.com/mcp with a gateway API key, and the upstream credentials stay in the portal. Teammates configure a URL and a key, not a local server.

Use the Bearer header when your client supports it. For clients that can't send headers, put the key in the URL path. It's the same key with the same access, so treat that URL like a password. The API key guide has the exact formats.

Write onboarding notes with placeholders, never real keys. Keep keys out of screenshots, example repos and pasted transcripts. Record who owns each key, so that when someone leaves you have a concrete list to review.

Test what works and what shouldn't

Connecting is the start of testing, not the end. Test connection runs a real health-check call, which shows the instance can reach its service. It doesn't prove your report is right or that unwanted operations are blocked.

1. Test the happy path. Use a disposable dataset and ask for a small report with a result you already know.
2. Test the denied path. A disabled write tool should be missing from the tool list and refused if a test client calls it directly. The gateway filters tools/list to enabled tools, refuses tools/call on the rest, and always refuses tools outside the catalog for that server.
3. Test the credential. In a sandbox, use the database account to read a table outside the reporting boundary. It should fail at the database. A correctly disabled write tool doesn't help if the account can still read confidential data.

Keep the results with your instance list, and repeat them after you change the enabled tools.

Assign owners and rehearse revocation

Name one person who approves permission changes and one backup who can recover the workflow. These are roles your team assigns. MCPifex doesn't enforce a role hierarchy for you.

The portal shows call logs and daily usage counts per instance, so you can see which tools a workflow used. A count of calls shows what happened, not why the model chose it.

Practice revoking a disposable key. New calls stop within about a minute, and an open session is cut off on its next tool call. That's your containment window. Revoking a gateway key doesn't change the upstream credential, so also rotate the database password or Google connection if it may be exposed. The security and data docs explain which controls are yours.

Pick a plan from real boundaries

As of September 2026, the Team plan is $49 per month or $490 per year. It includes a team organisation, up to five members and 30 instances. Instances are the only enforced limit, and tool calls are unlimited. The pricing page lists every plan.

Count instances by genuinely different configurations, environments and permissions. A reporting instance and a sandbox instance may both be PostgreSQL and still deserve separate slots. Don't count tool names, and don't give everyone a copy of every server.

Start with one small reporting workflow. When a teammate can onboard from your notes, the report is reproducible, forbidden operations fail and the owner can revoke a key without guessing, you're ready for the next workflow. You can try it free first.