MoviePy-based video editor for fast trimming, merging, resizing, effects & YouTube downloads—an alternative to Clip Cham
by Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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Video Edit (MoviePy) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Video Edit (MoviePy) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Video Edit (MoviePy) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Video Edit (MoviePy) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Video Edit (MoviePy) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Video Edit (MoviePy) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Video Edit (MoviePy) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Video Edit (MoviePy) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Video Edit (MoviePy) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Video Edit (MoviePy) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Claude Desktop configuration
{
"mcpServers": {
"video_editing": {
"command": "uvx",
"args": [
"--python",
"3.11",
"video-edit-mcp"
]
}
}
}Provides comprehensive video and audio editing capabilities through MoviePy, allowing you to trim, merge, resize, add effects, convert formats, and download videos from YouTube. Uses an in-memory object store to efficiently chain multiple editing operations without creating intermediate files.
Video Edit (MoviePy) is a community-built MCP server published by aditya2755 that provides AI assistants with tools and capabilities via the Model Context Protocol. MoviePy-based video editor for fast trimming, merging, resizing, effects & YouTube downloads—an alternative to Clip Cham It is categorized under other, ai ml. This server exposes 34 tools that AI clients can invoke during conversations and coding sessions.
You can install Video Edit (MoviePy) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
A powerful Model Context Protocol (MCP) server designed for advanced video and audio editing operations. This server enables MCP clients—such as Claude Desktop, Cursor, and others—to perform comprehensive multimedia editing tasks through a standardized and unified interface.
https://github.com/user-attachments/assets/134b8b82-80b1-4678-8930-ab53121b121f
Seamlessly chain multiple operations together without creating intermediate files. Process your video through multiple steps (trim → add audio → apply effects → add text) while keeping everything in memory for optimal performance.
Ensure that uv is installed.
If not, install it using the following PowerShell command:
powershell -ExecutionPolicy Bypass -Command "irm https://astral.sh/uv/install.ps1 | iex"
Add this configuration to your MCP configuration file:
{
"mcpServers": {
"video_editing": {
"command": "uvx",
"args": [
"--python",
"3.11",
"video-edit-mcp"
]
}
}
}
Configuration file locations:
%APPDATA%/Claude/claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json.cursor/mcp.json in your project rootgit clone https://github.com/Aditya2755/video-edit-mcp.git
cd video-edit-mcp
pip install -r requirements.txt
pip install -e .
video_edit_mcp/
├── src/
│ └── video_edit_mcp/
│ ├── __init__.py
│ ├── main.py # MCP server implementation
│ ├── video_operations.py # Video editing tools
│ ├── audio_operations.py # Audio processing tools
│ ├── download_utils.py # Download functionality
│ ├── util_tools.py # Memory & utility tools
│ ├── utils.py # Utility functions
│
├── pyproject.toml # Project configuration
├── requirements.txt # Dependencies
├── uv.lock # Lock file
├── LICENSE # MIT License
├── MANIFEST.in # Manifest file
└── README.md
# Chain operations without intermediate files
video_info = get_video_info("input.mp4")
trimmed = trim_video("input.mp4", 10, 60, return_path=False) # Keep in memory
with_audio = add_audio(trimmed, "background.mp3", return_path=False)
final = add_text_overlay(with_audio, "Hello World", x=100, y=50, return_path=True)
We welcome contributions in these exciting areas:
git checkout -b feature/amazing-featuregit commit -m 'Add amazing feature'git push origin feature/amazing-featureThis project is licensed under the MIT License - see the LICENSE file for details.
Made with ❤️ for the AI and multimedia editing community
</div>Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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