Connect OnlyFans to Claude & ChatGPT
Connecting OnlyFans to ChatGPT or Claude comes down to one thing: every modern AI assistant can call external APIs, and the only question is which mechanism it uses. ofapis is a clean REST API with a full OpenAPI 3.0 spec, which is the format all of these mechanisms consume. Point an assistant at the spec and it can read chats, rank fans, and send DMs on your behalf, with no custom backend.
Three ways an assistant reaches ofapis
| Mechanism | Assistant | How it consumes ofapis |
|---|---|---|
| Custom GPT Actions | ChatGPT | Import the OpenAPI schema; each operation becomes a tool. See ChatGPT guide. |
| MCP | Claude Desktop / Claude Code | An OpenAPI→MCP bridge turns the spec into MCP tools. See Claude guide. |
| Raw function calling | Any tool-calling model (via your code) | You declare a few functions and map them to endpoints yourself. |
All three end at the same place: an HTTPS request to https://api.ofapis.com/api/public/v1 carrying Authorization: Bearer ofapis_sk_....
The raw function-calling pattern
If you're building your own agent rather than using a hosted assistant, declare a small set of functions and map each to an endpoint. The model chooses which to call; your code executes it.
{
"name": "send_message",
"description": "Send a DM in an OnlyFans chat",
"parameters": { "chatId": "string", "text": "string" }
}
Your handler maps that to POST /api/public/v1/chats/{chatId}/messages and attaches the Bearer header. Start with three functions — list_subscribers, list_chats, send_message — and grow from there.
Agent use cases
- Churn rescue. The assistant reads subscribers, finds fans whose subscription is about to lapse, and drafts win-back copy you approve before it goes out via the messaging API.
- Whale watch. It ranks fans by spend, notices when a top spender goes quiet, and prompts you to reach out — turning raw subscriber data into a daily short list.
- Segment + send. It builds a fan segment, previews the campaign cost, and triggers a mass DM once you confirm.
Keep sends behind human approval until you trust a flow — the model only proposes calls; your integration decides whether to run them. Read endpoints (chats, subscribers, notifications) are safe to let it use freely.
Why ofapis suits agents
Failed calls — expired session, upstream error — are never charged, so an agent that retries a transient failure won't run up a surprise bill. One successful call is one credit. Sessions stay alive after a one-time connect, so there's no OAuth refresh logic for the agent to manage.
FAQ
Do I need a special OnlyFans integration for my assistant?
No. Because ofapis is REST + OpenAPI, you reuse whatever tool mechanism your assistant already supports — GPT Actions, MCP, or plain function calling. There's nothing OnlyFans-specific to install.
Which models can drive ofapis?
Any model that supports tool or function calling — including the Claude and GPT families. The spec is the same regardless of model; only the wiring differs. Compare the ChatGPT and Claude approaches to pick one.
Should I use MCP, GPT Actions, or raw function calling?
Use GPT Actions if you're inside ChatGPT, MCP if you're in Claude Desktop or Claude Code, and raw function calling if you're writing your own agent and want full control over execution. The MCP hub covers the agent-native route in depth.
Can an assistant send messages, or only read data?
It can do both. Reading (chats, subscribers, notifications) and writing (DMs, mailings, scheduled posts) are all in the spec. Most teams gate write actions behind an approval step and let reads run unattended.