Start with the outcome
Choose a task a customer already needs to complete. Define the expected result and a way to measure success: completion rate, time to complete, or fewer handoffs.
Choose the task.
Check the boundaries.
Before building, we agree on what the customer needs to do, which data they can use, and which actions they can take.
Check who can do what
Establish who can read and change each resource. Keep authorization in your backend, validate tokens and audience, preserve tenant boundaries, and request only the access the workflow needs.
Define the tools
Define each tool’s purpose, inputs and structured results. Test whether a plugin selects the right tool for a customer request. Explain consequential actions clearly and require confirmation where appropriate.
Test beyond the happy path
Exercise expired credentials, denied access, malformed inputs, cross-tenant requests, retries and upstream failures. Check that repeated write requests do not create unintended duplicate actions.
Roll out with visibility
Agree on deployment ownership, audit events, redaction, monitoring and rollback. Launch to a limited audience, evaluate real task outcomes, and expand deliberately.
Your systems remain the source of truth.
MCP provides a standard way to expose tools and context to assistants. It does not replace your permission model. ChatGPT handles the customer interaction; the server must still authorize every action.
Security and compliance requirements are scoped with your team. We do not claim certification or guaranteed platform approval.
Read the MCP authorization specification ↗Start with Scott.
I’m Scott Messer, the person behind Bread Factory Studios. Tell me what your product does and where your customers get stuck. We can work through which services would be useful to make available through a ChatGPT plugin.
Email Scott ↗Tell us what your
customers need to do.
We can look at the task, your API, and which services to expose through MCP.
Talk to the studio