Runway just showed up inside ChatGPT, and this time it is not a workaround or a third-party automation. Runway unveiled Runway MCP, allowing users to access its video creation features directly inside chat-based AI such as ChatGPT and Claude. The integration is now live in the ChatGPT app directory, meaning the tab-switching era of prompting a chatbot for ideas and then jumping to a separate video tool is officially optional.
What is MCP and why does it matter here?
MCP stands for Model Context Protocol, an open standard that lets AI assistants call out to external services mid-conversation. Think of it as a universal plugin layer for agents. MCP is a method that connects AI and external services, allowing other services' functions to be called within a chat interface. Runway is using this protocol to embed its full generation stack inside any compatible agent, not just ChatGPT.
Users can now connect Runway directly into Claude, ChatGPT, Cursor, Replit and more, to generate images and videos with models like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling 3.0, Veo 3.1, Nano Banana Pro and more. That is a remarkably broad model roster for a single integration, covering Runway's own Gen-4.5 alongside third-party models the company has aggregated under its API.
The workflow that changes
When integrated with ChatGPT, users can set video style and scene composition while talking with the AI, then proceed straight to video generation. Users can also use images entered during the chat to immediately create videos with Runway's video generation model, linking text conversation and visual input in a single workflow.
The kinds of tasks this unlocks in a single session:
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