To connect an API to ChatGPT, you expose it as a remote MCP (Model Context Protocol) server: an HTTPS endpoint that publishes tools ChatGPT can call, such as searching your catalogue, retrieving a record, or creating a request with confirmation. ChatGPT connects to that server through its connector settings, and from then on a user can ask for an outcome in plain language and the assistant calls your tools to deliver it. API to Agents designs, builds, and hosts that MCP server under your own subdomain for a fixed price, starting from a free audit.
What your customers can do in ChatGPT
The exact tools follow your audit, but a typical integration gives an assistant three kinds of capability:
- Read tools: search your inventory, look up an order, check availability, retrieve a document. These need no confirmation.
- Write tools: create a request, add an item to a cart, update a preference. These carry a clear contract for retries and errors.
- Guarded tools: place an order, cancel a booking, change billing. These require an explicit confirmation step before execution.
How the connection works
- Your MCP server runs at a subdomain you control, such as mcp.yourcompany.com, with TLS.
- Each tool has a name, a description that tells ChatGPT when to use it, typed inputs, and a result shaped for the task.
- Authentication uses the method your API already supports: API key in the base scope, OAuth or OIDC as a priced option, so each user acts only on their own account.
- ChatGPT connects to the server through its connector settings; availability depends on the plan and workspace configuration on the ChatGPT side.
What a good integration avoids
Most problems with agent integrations come from exposing an API as-is. Our setup covers the parts that make the difference between a demo and something customers rely on:
- A few outcome-shaped tools instead of a mirror of every endpoint.
- Permission checks on read tools, so one customer never sees another's records.
- Pagination with continuation tokens, so large result sets are handled honestly.
- Idempotent write actions, so a retried request never creates a duplicate order.
- Errors that tell the assistant whether to fix its input, report no matches, wait, or stop.
Getting there
Start with the free audit: it reads your documentation and proposes the tools ChatGPT would get. Pay the fixed setup fee, receive a validated roadmap within 72 hours, and we build and host the server as a managed MCP server. The same server also works with Claude and any other MCP client.
Frequently asked questions
Does ChatGPT support MCP servers?
Yes. ChatGPT can connect to remote MCP servers through its connector settings. Availability of connectors depends on the ChatGPT plan and workspace configuration.
Do I need to build a ChatGPT plugin or app?
No. A remote MCP server is the current, client-neutral way to make a service usable by assistants. The same server works with ChatGPT, Claude, and other MCP clients.
How do my customers connect?
They add your MCP server URL in ChatGPT's connector settings and authenticate with the method your integration supports. After that, they describe what they want and ChatGPT calls your tools.
Can ChatGPT place orders or change data?
Only through write or guarded tools you choose to expose. Guarded tools require an explicit confirmation before execution, and write tools are designed to be idempotent.
What does it cost?
A fixed setup fee quoted after the free audit, then a monthly managed hosting plan that starts only when the integration is live. See the pricing page for every line item.