Connect Claude to a video editing GitHub repo using MCP, then use Claude to understand your script, your video, and your visuals. Once everything is connected, ask Claude to create a complete edit plan or guide the edit by typing.
The video editing tool repository to connect with Claude via MCP
Converts any GitHub repo into an MCP link Claude can connect to
Generate AI images and b-rolls from your script automatically
Open the GitHub repository for the video editing tool and copy the link. This repo gives Claude access to the structure and capabilities of the editing system. Without it, Claude can only give text suggestions — but once connected through MCP, it can understand the repo and work with it practically.
Open OpenReel RepoGo to Git MCP and paste the GitHub repo link. Git MCP converts the repository into an MCP link. MCP acts like a bridge between Claude and external tools or codebases — it lets Claude connect with the GitHub repo and use it inside chat. Once Git MCP gives you the MCP link, copy it.
Open Git MCPOpen Claude → go to Connectors → click Add Custom Connector → paste the MCP link from Git MCP. Once added, Claude is connected to the video editing repo. This is the main setup step. After this, Claude can understand the repo and help you use it for video editing workflows.
Open a new chat in Claude. Paste the full script of your video, then upload the video file. Claude now has two important things — your script (what the video is about) and your actual video (the raw footage). Once Claude has both, it can start understanding the flow of the video.
If you have the Higgsfield connector, this workflow becomes even better. After pasting your script and uploading your video, ask Claude to generate supporting visuals. For example, if your script talks about AI video editing, Claude can generate visuals like AI interface shots, creator working on a laptop, futuristic editing timeline, b-roll of editing software, or abstract AI visuals.
Connect HiggsfieldBased on this video script, generate the required images, b-rolls, and visual scenes using the Higgsfield connector.
Take the generated images or b-rolls and paste them back into the same Claude chat (or start a new one for a cleaner workflow). Now Claude has everything: your video script, your original video, your generated images, your b-rolls, and your instruction to edit. This is where the workflow becomes powerful.
Give Claude a clear editing command. It will start creating a complete edit structure — telling you where to place b-roll, where to use images, where to cut, where to add zoom-ins, captions, transitions, sound effects, hooks, faster/slower segments, and emphasis. Instead of manually thinking through every edit, Claude thinks through it for you.
Here is my video script and the video file. First, understand the full flow of the video. Then divide the video into scenes. For each scene, suggest the right b-roll, image, text overlay, transition, zoom, sound effect, and editing style. Use the generated visuals wherever needed. Create a complete timestamp-based edit plan that I can directly follow.
Once Claude gives you the full edit plan, follow it manually in your editing software or use it with the connected video editing repo if your setup supports that workflow. The entire edit is now described in text — you're not starting from a blank timeline. You already know what to place, where, and how the final video should feel.
Edit this video based on the script. Use the images and b-rolls I provided. Place them at the right moments and describe the full edit process step by step.
Once your video, script, and visuals are loaded, Claude can build the complete edit structure:
Earlier, you had to manually think about every cut, every b-roll, every transition, and every visual moment. Now you simply explain the edit. Claude understands the script, the video, the visuals — then creates a proper editing structure.
Before
"I don't know how to edit this."
After
"Here is the complete edit structure. I just need to execute it."