The operational shape of an AI integration matters as much as the model it connects. A protocol that fits ordinary HTTP infrastructure can be easier to deploy across the systems a business already uses. MCP’s 22 August 2026 roadmap update describes a significant shift in that direction.
The maintainers report that the 2026-07-28 specification release removed protocol-level sessions and the initialisation handshake, introduced capability discovery through server/discover and made list results cacheable. The update also distinguishes shipped changes from work still on the roadmap, including further agent-identity and discovery improvements.
I would treat this as a compatibility and architecture review for an existing integration. A newer protocol document does not mean every installed client, server or SDK already behaves that way.
Inventory what is actually connected
Before changing a server, list the clients that use it, their versions and the operations they rely on. Include the unglamorous paths: reconnecting after a network failure, cancelling a request and returning an actionable error when credentials are no longer usable.
A small compatibility table can prevent a migration from being tested only through the developer’s preferred client. One customer may use a desktop host, another a command-line tool and an internal job a custom client. Their upgrade timing may differ.
I would choose a supported combination, test it and document the boundary. Where older clients must remain supported, decide explicitly how that support is provided. Do not silently reinterpret an unfamiliar request and hope the result is close enough.
Separate transport state from business state
Stateless transport does not remove the need to remember an order, a report job or a customer approval. It changes where that responsibility belongs. The application should be able to explain the status of a business operation without relying on a particular network connection remaining alive.
Consider a proposed catalog-enrichment tool that starts a job and returns later. The durable record needs an owner, an input reference, a status and a result location. If the client disconnects, the business must still know whether the job exists. A repeated request should not create a second expensive job merely because the transport has no session.
| Responsibility | Application question |
|---|---|
| Identity | Which customer and caller own this operation? |
| Progress | Where is the current job state recorded? |
| Repetition | How is an already accepted request recognised? |
| Result access | Can the caller still access the result under current permissions? |
These are design questions for the application. They should remain clear whether the integration runs on one process or several instances behind a load balancer.
Test the migration through the client boundary
I would create a small set of acceptance cases that run from discovery through a real tool response. Include a valid request, a rejected request and a controlled failure after work has been accepted. Verify what the client receives and what the application records.
Capability information also needs a clear scope. If different customers can use different tools, the implementation must not accidentally reuse another customer’s view. Caching can improve efficiency, but the cache design still has to match the meaning of the result.
My article on independent plan and implementation review describes one way to challenge a migration before and after coding. The goal is a checkable change record rather than a large, difficult-to-review protocol rewrite.
Upgrade for an operational reason
A migration should solve something concrete: deployment constraints, compatibility, maintainability or a required capability. If an integration already works within a supported environment, first establish the benefit and the transition cost. Newness alone is not a sufficient acceptance criterion.
The same discipline applies when adopting an existing connector such as mcp-gsc. Its documented behaviour and dependency choices need to be checked against the client you intend to use; the MCP label alone is not a compatibility test.
My AI integration service can help map those dependencies, define a migration boundary and verify the business operations behind the tools.
Source checked 7 October 2026: the MCP maintainers’ August roadmap update. Protocol details above refer to its account of the 2026-07-28 release, not to every historical MCP version. Examples are proposed engineering checks.