Why This Exists

You have a ChatGPT Plus subscription but want to use it programmatically:

• Build AI agents that chat with ChatGPT via MCP (Model Context Protocol)
• Use the OpenAI Python SDK against your ChatGPT account — no separate API key
• Access ChatGPT Projects for persistent memory and custom instructions
• Manage memories, conversations, and projects from code

Other reverse proxies require token extraction, sentinel challenge solving, or cookie management. This one drives a real Chrome browser — anti-bot challenges (Turnstile, PoW) are handled automatically.

Demo

$ pip install chatgpt-web2api
$ chatgpt-web2api
✓ Chrome launched on port 9222
✓ Navigating to chatgpt.com...
✓ Ready on http://localhost:8080

$ curl -s http://localhost:8080/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{"model":"auto","messages":[{"role":"user","content":"What is 8+7?"}]}'
{"choices":[{"message":{"content":"8 + 7 = 15"},"finish_reason":"stop"}]}

# OpenAI Python SDK — drop-in replacement
from openai import OpenAI
client = OpenAI(base_url="http://localhost:8080/v1", api_key="not-needed")
print(client.chat.completions.create(
    model="auto",
    messages=[{"role": "user", "content": "What is 8+7?"}]
).choices[0].message.content)
# → "8 + 7 = 15"

How It Works

┌──────────────┐   OpenAI API   ┌──────────────┐   CDP    ┌──────────────┐
│  Your code   │ ──────────────► │  API Server  │ ────────► │    Chrome     │
│  SDK / curl  │ ◄────────────── │  or MCP      │ ◄──────── │  chatgpt.com  │
│  MCP client  │   JSON / SSE    │  Server      │  events   │  (logged in)  │
└──────────────┘                 └──────────────┘           └──────────────┘

The proxy types messages, clicks send, and reads responses — exactly like a human. The browser handles all anti-bot challenges transparently.

Quick Start

pip install chatgpt-web2api

# Start — opens Chrome, waits for login on first run
chatgpt-web2api

# Then use it:
curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"auto","messages":[{"role":"user","content":"What is 2+2?"}]}'
# → {"choices":[{"message":{"content":"4"}}]}

That's it. One install, one command, one endpoint.

What You Get

🌐 OpenAI-Compatible REST API

Drop-in replacement for api.openai.com:

from openai import OpenAI

client = OpenAI(base_url="http://localhost:8080/v1", api_key="not-needed")

response = client.chat.completions.create(
    model="auto",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True,
)
for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

⏱️ Rate Limits & Agent Retry

ChatGPT occasionally shows a "Too many requests" pop-up when conversations are accessed rapidly. ChatGPT-Web2API turns this from a silent failure into a practical, agent-friendly signal — so autonomous wor

... View full README on GitHub