Video MCP, Explained: How to Turn Your AI Agent into a Video Assistant

The Model Context Protocol (MCP) is a technology that lets AI agents (like Claude, ChatGPT, and Cursor) connect to specific tools and actions within your software. You tell the AI what to do, and it takes care of the task without you having to log into your software.

A video MCP is that same idea, except it’s specific to video platforms. It’s a defined set of video actions an AI agent is allowed to take. For example, we built an MCP server that lets agents access your video library, webinars, and analytics and carry out tasks without you lifting a finger. It’s like having your own AI video agent.

What your AI agent can do with a video MCP

It depends on the video platform and what the MCP allows. I tested a range of tasks with the Wistia MCP and rounded up some favorites:

• Add captions in bulk: “Which videos in our library are missing captions? Enable captions for all of them.”
• Upload videos, and then some: “Add this video to my ”Thought Leadership" folder and please order overdubs in Spanish, French, and German"
• Provide video performance updates: “Pull last month’s plays and engagement for every video in the product folder, and give me the top five.”
• Tag videos by type: “Find every untagged video from our 2025 webinars and tag them.”
• Create social posts from a webinar transcript: “Grab the transcript from our latest webinar and draft five LinkedIn posts from the best moments.”
• Provide webinar performance updates: “How did last month’s webinar do? Give me registrations, how many showed up, and the average watch time.”

Tips for getting the most out of a video MCP

• Start read-only. Let the agent pull and report before you let it change anything. It’s a low-risk way to learn the workflow and trust the results. Since accuracy is the top concern marketers have about AI, a little verification goes a long way.
• Be specific. Agents do their best work with clear instructions. “Pull engagement for the Product Pages Videos folder for May and give me the top five by play rate” beats “how are our product videos doing?” For repeatable tasks, build skills for your agent.
• Pair it with the AI agent you already use. The agent already has context from your conversations and integrations to other tools, so video tasks slot right into your existing AI workflow.

Setting up a video MCP

It’s super easy. I’ve never coded anything in my life, and I managed to set up multiple MCPs. All you have to do is point your agent of choice to the MCP and follow the prompts. Or if you use Claude, ChatGPT, or Cursor, just search the connections library.