MSPlex/Gateway
Gateway

One managed exchange layer between AI and your MSP stack.

MSPlex is not just a collection of connectors. The gateway is the product boundary that handles routing, connector auth state, and tenancy proof so AI can operate against real MSP systems without each workflow building its own infrastructure.

The gateway is the control plane, not just a pass-through.

AI CLIENTSMSP TOOLSCLAUDECURSORAGENTCOPILOTCUSTOMHALOPSAHUDUIT GLUECONNECTWISEPAX8MICROSOFT 365MSPlexGATEWAY EXCHANGE1,247TOOL CALLS ROUTED
gateway-cli

$ msplex connect halopsa --tenant acme

-> Gateway session ready

$ msplex status

-> Control plane: operational

-> Current build: 5 connectors

-> Endpoint: https://msplex.ai/mcp/v1/acme-corp

The exchange becomes useful when it carries the operational burden.

Auth stays in the exchange

The gateway owns token refresh, connector auth state, and the boundary between AI clients and production systems.

One route layer, many tools

Routing logic lives in one place, so AI clients do not need custom point-to-point integrations for every MSP system.

Tenant proof travels with the call

Every request carries tenant proof and stays inside a boundary that is easier to reason about than scattered MCP glue.

A better gateway review ties architecture to rollout reality.

01

Map the first workflow

Start by identifying which systems the first workflow must touch and whether the current build already covers them.

02

Review the gateway in context

Keep the gateway conversation tied to trust review, connector fit, and rollout timing instead of treating it as abstract architecture.

03

Choose a durable control plane

Use the gateway as the control boundary for production AI workflows rather than letting each agent invent its own connector logic.

Pair the gateway page with trust and connector fit.

Practical note

The gateway matters because it becomes the operational contract between AI workflows and production systems. That contract should be understandable before rollout begins.

Need the gateway explained against your current stack?

Bring the tools you want AI to reach, the trust constraints you need to preserve, and the rollout timeline you are targeting.

MSPlexGateway