Video Editing Mcp
Wire Video Jungle into your agent so you can search footage, analyze clips, generate assets, and edit videos without leaving the MCP session.
Overview
Video Editing MCP is a MCP server for the Grow phase that connects agents to Video Jungle to analyze, search, generate, and edit videos.
What is this MCP server?
- PyPI package video-editor-mcp v1.0.1 with stdio transport
- Video Jungle capabilities: analyze, search, generate, and edit videos
- Requires VJ_API_KEY secret from https://www.video-jungle.com/user/settings
- MCP bridge to hosted Video Jungle—not a local NLE replacement
- Single required env var for authentication to the service
- Server version 1.0.1
- 4 advertised capability areas: analyze, search, generate, edit
- 1 required secret env var: VJ_API_KEY
Community signal: 273 GitHub stars.
What problem does it solve?
You cannot iterate launch videos and tutorial clips from the same agent session that writes your app without a dedicated video API bridge.
Who is it for?
Indie makers with a Video Jungle account who produce recurring video content and want agent-driven edits and asset search.
Skip if: Teams avoiding paid video APIs or needing professional offline timelines with no cloud dependency.
What do I get? / Deliverables
After PyPI install and VJ_API_KEY setup, your agent can drive Video Jungle analyze, search, generate, and edit flows from MCP tool calls.
- Agent-triggered video search and analysis via Video Jungle
- Generated or edited video assets aligned to marketing workflows
- Reduced manual UI switching between IDE and video platform
Recommended MCP Servers
Journey fit
Grow is the canonical shelf because analyze/search/generate/edit maps to shipping content and demos that compounds distribution—not core product coding. Content subphase captures video lifecycle work indie builders do for tutorials, launch reels, and changelog media via Video Jungle APIs.
How it compares
Video Jungle API MCP adapter, not a generic FFmpeg CLI skill.
Common Questions / FAQ
Who is video-editing-mcp for?
Solo builders and creators using Video Jungle who want Claude Code, Cursor, or similar agents to manage video analyze, search, generate, and edit tasks.
When should I use video-editing-mcp?
Use it during content production for launches, tutorials, and social clips when you already rely on Video Jungle and want MCP automation.
How do I add video-editing-mcp to my agent?
Install video-editor-mcp from PyPI (stdio), set the required secret VJ_API_KEY from Video Jungle user settings, and add the server to your MCP client config.