As teams adopt AI assistants, they often want those assistants to work with the same internal systems: repositories, issue trackers, databases, and business tools. The Model Context Protocol (MCP) provides a standard way for AI applications to connect to external tools and data. But as the number of clients, servers, and users grows, managing each connection separately becomes harder.
An MCP gateway sits between MCP clients and MCP servers. Instead of every client connecting directly to every server, clients connect through a shared layer that can route requests and apply a consistent set of controls.
What does an MCP gateway do?
A gateway provides a common entry point for MCP traffic. Depending on the product and deployment, it can help a team:
- Connect clients to servers: route a request from a compatible AI client to the selected MCP server.
- Manage access: decide which users, roles, or clients can use particular servers or tools.
- Handle credentials: store or apply server credentials centrally instead of repeating secrets in individual client configuration.
- Record activity: create a traceable record of requests and outcomes for operations and review.
- Manage server lifecycle: configure remote endpoints or run supported server processes in a controlled environment.
Those features vary. Before choosing a gateway, check which MCP transports and server runtimes it supports, how it stores secrets, and what its logs actually capture.
When does a team need one?
A single developer experimenting with one local server may not need a gateway. Direct client configuration is often enough for that stage. A shared layer becomes more useful when several people need the same tools, when access differs by role, or when admins need to update server configuration without asking every teammate to edit local files.
It can also simplify operations. If an endpoint changes, a centrally managed connection may mean updating one configuration instead of distributing changes across multiple clients. A gateway can give administrators a clearer place to see which servers are available and how they are being used.
How is a gateway different from an MCP server?
An MCP server exposes tools or resources. For example, a server might provide repository search or access to a ticket system. A gateway manages connections to one or more servers and mediates traffic from clients. A gateway does not automatically make an underlying server safe; it adds a place to apply and observe controls around the connection.
What should you look for?
Start with the practical requirements: supported client connection methods, server types, authentication behavior, per-user or per-role policy controls, audit detail, deployment model, and backup process. Also check whether the gateway preserves the protocol behavior your clients and servers depend on.
Using MCPlama as an MCP gateway
MCPlama is an open-source, self-hosted gateway for managing MCP servers, client access, credentials, policies, and activity. It is designed for teams that want to run the gateway in their own environment and connect compatible clients through one managed endpoint.
Explore the MCPlama overview or follow the installation guide to see its deployment model and supported server options.
Keep learning
Next: establish a baseline for MCP security and access control.
Read the MCP security guide →