burningion/video-editing-mcp
by Various
MCP Interface for Video Jungle
MCP
burningion/video-editing-mcp
Added 1 June 2026
Overview
An MCP (Model Context Protocol) server that exposes Video Jungle's video editing capabilities to AI assistants. It allows LLMs to perform operations like trimming, concatenating, and adding effects to video files through a standardized interface.
Best for
Best for
Developers building AI agents that need to perform basic video editing operations programmatically.
Use cases
- Automate video editing workflows via AI assistant prompts
- Integrate video processing into agent-based pipelines
- Programmatically apply effects and cuts to video clips
How to use
Install
npx -y @smithery/cli install video-editor-mcp --client claude Tools exposed
add-videocreate-videojungle-projectedit-locallygenerate-edit-from-videosgenerate-edit-from-single-videoget-project-assetssearch-videosupdate-video-editsearch-local-videos
Tested with
Claude Desktop
Example client config
[object Object] Notes
An MCP (Model Context Protocol) server that exposes Video Jungle’s video editing capabilities to AI assistants. It allows LLMs to perform operations like trimming, concatenating, and adding effects to video files through a standardized interface.
271 stars on GitHub. Last updated 2025-10-09.
Use cases
- Automate video editing workflows via AI assistant prompts
- Integrate video processing into agent-based pipelines
- Programmatically apply effects and cuts to video clips
Pros
- Enables natural language control of video editing tasks
- Leverages existing Video Jungle functionality through MCP
- Open source with active community (271 stars)
Cons
- Requires Video Jungle to be installed and configured separately
- Limited to operations supported by Video Jungle’s API
- Python dependency may not suit all deployment environments
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Enables natural language control of video editing tasks
- Leverages existing Video Jungle functionality through MCP
- Open source with active community (271 stars)
Cons
- Requires Video Jungle to be installed and configured separately
- Limited to operations supported by Video Jungle's API
- Python dependency may not suit all deployment environments
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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