--- title: 'Model Context Protocol for Video Editing - OpenClip' description: 'What Model Context Protocol means for video editing: how MCP servers expose clipping, captioning, and rendering tools to AI assistants like Claude.' canonical: 'https://openclip.app/learn/model-context-protocol-video-editing' markdown: 'https://openclip.app/learn/model-context-protocol-video-editing.md' --- Part of OpenClip's video editing MCP resource hub Explore setup guides, assistant workflows, examples, and prompt templates for controlling OpenClip from MCP-compatible AI assistants. [Open MCP hub](/mcp)MCP Glossary # Model Context Protocol for Video Editing Model Context Protocol gives AI assistants a standard way to call video tools. Instead of pasting instructions back and forth, your assistant connects to a server like OpenClip's and operates the actual clipping pipeline: submitting videos, polling status, and rendering captioned clips you approve. ## Definition Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools through a structured server interface. An MCP server publishes a set of typed tools that any compatible client (Claude, ChatGPT, Cursor, Perplexity, or a custom agent) can discover and call at runtime, over one of two supported transports: streamable HTTP for remote servers and stdio for local ones (the older SSE transport is deprecated). Applied to video editing, an MCP server exposes real workflow actions instead of a chat interface: OpenClip's server, for example, publishes tools such as submit\_video to start a job from a URL, get\_video\_status to poll progress, list\_clips to review detected viral moments, render\_clip to produce a captioned vertical clip, and get\_transcript to pull time-coded text. The assistant becomes the coordinator: it carries your brief, calls the right tools in order, reports progress, and asks for your approval, while the heavy processing (moment detection, speaker tracking, captioning, rendering) stays inside the video platform. Authentication for remote video MCP servers is typically OAuth 2.1 with dynamic client registration, which means you sign in once from inside the assistant and never handle an API key. ## Related Terms [Video Editing Mcp Server](/learn/video-editing-mcp-server) [Prompt Engineering](/learn/prompt-engineering) [Long Form To Short Form](/learn/long-form-to-short-form) [Viral Clip Detection](/learn/viral-clip-detection) [Video Repurposing](/learn/video-repurposing) [Ai Captioning](/learn/ai-captioning) ## Features ### Assistant-to-tool bridge MCP gives Claude, ChatGPT, Cursor, and other clients a typed interface to video tools, so "clip this podcast" becomes a submit\_video call instead of copy-paste instructions. ### Runtime tool discovery Clients discover the server's tool list when they connect. When OpenClip adds a capability, every connected assistant can use it without a client update. ### Structured job status Video processing is asynchronous. MCP tools like get\_video\_status return machine-readable states (processing, completed, pending\_credits), so assistants can poll and report progress accurately. ### OAuth 2.1 sign-in, no API keys Remote MCP servers use OAuth 2.1 with dynamic client registration. You approve access once from the assistant; tokens are scoped and revocable, and nothing is pasted into config files. ### Two standard transports MCP runs over streamable HTTP for hosted servers like [https://openclip.app/mcp](/mcp) and stdio for local CLI tools, so the same protocol covers chat apps and coding agents. ### Composable video workflows Because each step is a discrete tool call (submit, poll, list, render), assistants can chain them into repeatable workflows: podcast in, five approved captioned clips out. ## Frequently Asked Questions ### Is MCP the same as a video editing API? No. An API is usually called by custom code that you write and maintain, with keys you manage. An MCP server is called by an AI assistant directly: the assistant discovers the tools at runtime, handles the calls, and you interact in plain language. See our MCP vs video editing API comparison for a full breakdown. ### What can an assistant actually do with a video editing MCP server? With OpenClip's server it can submit a video URL or upload, watch processing status, list the detected viral moments with virality scores, render chosen moments as captioned vertical clips, pull transcripts, and manage saved processing presets. The assistant coordinates; OpenClip does the processing. ### Which AI assistants support MCP? Claude (web, Desktop, and Claude Code), ChatGPT (via connectors with Developer mode on paid plans), Cursor, Perplexity (Pro and up), and a growing set of agent frameworks. Any client that implements the MCP spec can connect to the same server. ### Does MCP send my video to the assistant? No. The video is processed inside OpenClip. The assistant only exchanges structured data: job ids, statuses, moment titles, transcript text, and clip URLs. Video-derived text is marked as untrusted content so the assistant treats it as data rather than instructions. ### How do I try MCP video editing? Connect your assistant to [https://openclip.app/mcp](/mcp) (one URL for everyone, OAuth sign-in, no API key) and ask it to turn a video into clips. The OpenClip MCP hub has step-by-step setup for each client. ## Run video editing from your AI assistant Connect OpenClip through MCP and turn long videos into captioned, publish-ready clips without leaving your assistant. [Get Started Free](https://openclip.app/register) ## Related Pages ### Guides [How to Automate Video Editing with MCP](/guides/automate-video-editing-with-mcp) [Claude Video Editing Workflow: A Worked MCP Example](/guides/claude-video-editing-mcp-workflow) ### Integrations [OpenClip + Claude MCP Integration | Video Editing from Claude](/integrations/claude-mcp) [OpenClip + ChatGPT MCP Integration | Video Editing from ChatGPT](/integrations/chatgpt-mcp) [OpenClip + Cursor MCP Integration | Video Editing from Cursor](/integrations/cursor-mcp) ### Use Cases [Control Video Editing from AI Assistants](/use-cases/control-video-editing-from-ai-assistants) ### Alternatives [Best Video Editing MCP Servers in 2026](/alternatives/best-video-editing-mcp-servers)