Connect once
Claude, ChatGPT, Gemini, or Cursor signs in with OAuth. After that, the agent can search your library and prepare videos.
MCP
Connect Claude, ChatGPT, Gemini, Cursor, or your own support bot to Bingeable. Ask “how do I invite a teammate?”, reuse an existing walkthrough if you have one, or generate a new video and get back a public embed link.
How it works
Claude, ChatGPT, Gemini, or Cursor signs in with OAuth. After that, the agent can search your library and prepare videos.
The agent rewrites the request to Bingeable’s prompt guidelines and shows you that wording. Nothing records until you say yes.
When the video is ready, the agent returns the public embed link. Paste it into a help article, a doc, or a reply.
Use cases
“How do I invite a teammate?”
Search the library first. Reuse an existing walkthrough, or approve a new one and send the embed with the written answer.
“Walk through connecting Stripe from Settings.”
The rewritten prompt is approved in chat, then the embed lands in the doc or the pull request.
“Make a showcase of our pricing page.”
ChatGPT or Gemini can brief a public-page showcase. No login. Approve the wording, then share the link.
“Which questions still have no video?”
Questions the library could not answer are logged. Review the backlog and approve the smallest set of videos that covers them.
Claude, ChatGPT, and other remote MCP clients connect over HTTPS. Sign in once, approve the scopes, and the agent can search your library. A new video starts only after you approve the rewritten prompt.
MCP server URL
https://bingeable.ai/api/mcpClaude Desktop / remote MCP config
{
"mcpServers": {
"bingeable": {
"url": "https://bingeable.ai/api/mcp"
}
}
}Clients that only speak stdio can run the thin wrapper. It forwards to the same hosted server and uses the same OAuth login in the browser.
Cursor mcp.json
{
"mcpServers": {
"bingeable": {
"command": "npx",
"args": ["-y", "@bingeable/mcp"]
}
}
}/embed/{id} link and iframe snippet.