Question 1

What does it mean for an MCP server to be stateless?

Accepted Answer

A stateless MCP server processes every request independently, using only the information that request itself carries, instead of inferring context from an earlier request on the same connection. If something needs to persist across requests, it's referenced by an explicit identifier — an orderId, a jobId, a task handle — that the client sends again, not held in server memory.

Question 2

Does a stateless MCP server mean the business has no state at all?

Accepted Answer

No. Orders, customer records, and long-running jobs all have real state — it just doesn't belong inside the MCP layer. A stateless MCP server references that state explicitly through IDs and handles instead of hiding it inside a process or a connection, leaving the actual state where it already lives: the business system of record.

Question 3

Why doesn't HAPI MCP use the stdio transport?

Accepted Answer

stdio couples an MCP server's lifecycle to a local client process and typically pulls credentials from the local environment, which is workable for personal tooling but harder to govern at enterprise scale. HAPI MCP uses HTTP-based, headless deployment instead, so authentication, authorization, and credentials stay at well-defined network boundaries regardless of deployment target — cloud, on-premises, hybrid, or air-gapped.

Question 4

How does statelessness help an MCP server scale?

Accepted Answer

When every request is self-contained, any healthy server instance can handle it — a restart doesn't erase an in-progress conversation, a retry doesn't need to recover hidden memory, and traffic can be load-balanced freely. That's what lets a stateless MCP layer run behind a load balancer, in a container, or at the edge, with the same behavior every time.

Question 5

What is MCP's sessionless direction / explicit state handles?

Accepted Answer

It's a pattern where, if an operation needs to continue across multiple requests, the server returns an explicit handle and the client sends that same handle back on the next request — rather than the server inferring continuity from an open connection. The state becomes visible and portable instead of implicit, which is exactly what a stateless MCP layer needs to support genuinely long-running work.

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