Bread FactorySTUDIOSLet’s talk
BREAD FACTORY STUDIOS

Your services.
Inside
ChatGPT.

We build MCP services that connect your business to the ChatGPT plugin ecosystem. Give customers access to your information and services, with your access rules enforced.

Talk about your services See it in ChatGPT
For companies with an existing product and API.
Captured in ChatGPT. ↘
A real ChatGPT response with fictional lamp comparisons and a native priority selector.
Real conversation · Fictional catalog · Headless MCP
Your services, within reach. Headless MCP services Authenticated access Server-side access checks
RECORDED IN CHATGPT

Ask. Compare.
Make a choice.

These are actual captures from a ChatGPT conversation connected to our headless MCP sample service. The products and prices are fictional.

VIEW RECORDED STATES
Actual ChatGPT response comparing two fictional desk lamps, with lowest price selected and Aster recommended.
Actual ChatGPT capture · Fictional sample data

Compare the options in chat.

ChatGPT used our sample catalog data to show two lamps and a native priority selector. Choosing lowest price recommends the $62 Aster lamp.

Our MCP service returns data and calculated results. ChatGPT creates the presentation.

Screenshots from a tested conversation. ChatGPT’s layout can vary by request. This sample supports comparison and estimates; purchasing is outside its scope.

Open full-size capture
A PRACTICAL FIRST STEP

One service.
A clear build plan.

Start with a conversation.

We choose one customer task, review your API and access rules, and map the MCP tools a plugin would need.

We work through the scope together before any build begins.

How a project starts
WHAT YOU COULD EXPOSE

Useful information.
Useful actions.

Illustrative integration scopes. Each depends on the capabilities and permissions your systems provide.

FIND AND UNDERSTAND

Products. Availability. Order status.

Expose tools that retrieve current information from your systems. Return structured results a plugin can use to answer a customer’s request.

REQUEST AND ACT

Bookings. Service requests. Account changes.

Expose a focused set of actions where your API supports them. Check identity and permissions, validate the request, and report the actual result.

01 / DEFINE

What can the customer do?

Choose the services and information to make available. Give each tool a clear purpose and input schema.

02 / CONNECT

Work with your existing systems.

Connect tools to your API. Authenticate users and preserve your access rules on every request.

03 / VERIFY

Test through a ChatGPT plugin.

Check tool selection, returned data, denied access and action confirmation in the actual customer flow.

Read OpenAI’s plugin architecture
THE CONNECTION BEHIND IT

Your services.
ChatGPT’s presentation.

We expose the information and actions your systems support. Your MCP service checks access and returns the result; the plugin makes those tools available to ChatGPT.

HOW THE PIECES FIT
  1. 01

    Your customer in ChatGPT

    Asks for help using your services.

  2. 02

    A plugin connected to your business

    Uses MCP tools to request data or an action.

  3. 03

    Your MCP service

    We build this connection: defined tools, structured results and access checks.

  4. 04

    Your existing systems

    Supply information and carry out authorized actions.

ChatGPT handles the conversation and presentation. Your systems remain the source of truth.

WHAT GOES INTO THE BUILD

The connection behind the plugin.

How we work

MCP tools for your services

Defined inputs, structured results and API connections for the tasks your customers need to complete.

Production MCP integrations

Well-defined tools over your existing APIs, with input validation, predictable errors and clear action boundaries.

Access and operations

Identity and scoped access, tenant isolation, approval design and observability built into the workflow.

Scoped authorization Server-side enforcement Operational visibility
HOW A PROJECT STARTS

Start with one task.
Build from there.

We choose one customer task, agree on what a successful result looks like, and work through the API, tools and access rules before rollout.

Find your starting point
  1. 01

    Discover

    Choose a customer task and map the API, identity and approval requirements.

  2. 02

    Build

    Implement the headless MCP service. Test the tools and their boundaries.

  3. 03

    Roll out

    Verify it through a ChatGPT plugin, then start with a limited audience.

HAVE A TASK IN MIND?

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