Business apps × AI assistants
Your software. Inside the AI tools your team uses.
Broad Builder builds custom ChatGPT plugins and MCP integrations that connect your existing apps, data, and business workflows to AI assistants. Give your team a way to find information, prepare work, and take approved actions without rebuilding your entire product.
Based in Jacksonville. Working with businesses across the United States.
For a business with an existing app, we design the connection around its API and permission model. A first release might let a signed-in user retrieve an account, check an order, or prepare a work request. We agree on the allowed actions and the evidence that each action worked before expanding the scope.
For a SaaS company, the project can expose selected product capabilities to customers through a plugin or an MCP server. For an internal team, it can connect approved company systems to an assistant. These are different audiences: customer-facing distribution, internal access, support, and data handling are scoped separately.
Start with where the user needs to work. These approaches can share a backend, but they solve different interface and distribution needs.
Your users work in ChatGPT.
Package a defined workflow with the tools it needs. An MCP connection brings in your live systems; an optional interface can help users inspect or edit results.
Scope the supported ChatGPT surfaces and whether the release is internal or intended for public review.
Your users work across AI clients.
Expose a controlled set of business capabilities through Model Context Protocol. Use the shared connection where supported by ChatGPT, Claude, or another named client.
Test authentication, tools, permissions, and any UI in each target client. Compatibility is not automatic.
Your users should stay in your app.
Build an assistant or AI-assisted feature into your existing website or software using model APIs and your own interface.
This is a product integration, not a ChatGPT directory listing. You operate the user experience and application backend.
Platform terminology and capabilities change. This page follows OpenAI’s current plugin architecture and the MCP documentation, reviewed October 2, 2026. For AI features in your own interface, see our AI integration services.
Illustrative project scopes—not customer results or prebuilt integrations. Feasibility depends on your systems and access.
Look up an account, summarize approved activity, and prepare a follow-up task. Require review before changing a record or sending a message.
Find products or check an order through an authorized API. Separate browsing from purchases, refunds, and other consequential actions.
Read availability, assemble a job brief, or propose an appointment. Recheck availability and obtain confirmation before committing a booking.
Retrieve permitted documents or query defined business metrics. Preserve source references and say when data is missing, stale, or outside the user's access.
01
Identify the users, systems, permitted data, and action boundaries. Compare a ready-made connector with a custom build and agree on what success looks like.
02
Implement the API adapter, focused tools, validation, and authentication. Add workflow instructions and a visual interface only where they help the task.
03
Check allowed and denied access, wrong-tenant requests, revoked connections, stale data, timeouts, duplicate actions, and misleading instructions in retrieved content.
04
Verify the approved workflow in each target client. Hand over the agreed source, setup documentation, test results, rollback steps, and a named maintenance owner.
Do not send API keys, passwords, or private customer records in an inquiry.
We scope controls in the application and server, not just in instructions to the model. The business decides the allowed data, actions, retention, and review requirements.
Explore the product context and implementation work documented in the Broad Builder portfolio, including Clasp and First Coast Observer. These project pages describe software work; they are not evidence of a published ChatGPT plugin or a promised result for your integration.
Explore our work →We start by reviewing your API, authentication, data access, and the workflow you want to expose. If the app has no suitable API, we can scope an adapter or a backend change. Access restrictions and vendor terms may limit what can be connected; we do not promise compatibility before that review.
A plugin is the installable experience. OpenAI's current plugin architecture can combine workflow instructions, an MCP server, and optional UI. The MCP server is the connection that exposes selected tools and data. Not every plugin needs a new server, and not every connected workflow needs a custom interface.
An MCP server can provide a shared integration layer for compatible clients, including ChatGPT and Claude. We still test each named target separately: authentication, available tools, approval behavior, and UI support may differ. A working ChatGPT release does not automatically prove another client's support.
Not always. If an existing connector covers the required workflow and your access policies, configuration may be enough. Custom development makes sense when you need proprietary business logic, unsupported systems, precise permissions, a product-specific interface, or a customer-facing integration.
Public distribution is a separate scope from building the integration. We can prepare the package, test scenarios, and submission materials. Your organization supplies its verified publishing identity and approves policies. OpenAI controls review and acceptance; we do not guarantee approval, placement, discovery, or a publication date.
Cost and timing depend on the number and quality of APIs, read-only versus write actions, user and tenant permissions, interface requirements, target AI clients, and release reviews. After discovery, we propose a bounded first release with deliverables and acceptance checks. Hosting, model usage where applicable, vendor subscriptions, and maintenance are separate operating costs to account for.
Tell us which app you want to connect, who will use it, and the first task they should be able to complete. We’ll help define the connection, the boundaries, and a practical first release.
Discuss your plugin projectMaintained by Broad Builder. Platform references checked October 2, 2026. Broad Builder is an independent development service; this page does not claim affiliation with or endorsement by OpenAI or Anthropic.