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video-edit-mcp

by Various

🐍 🏠 🍎 πŸͺŸ - Comprehensive video and audio editing MCP server with advanced operations including trimming, merging, effects, overlays, format conversion, audio processing, YouTube

V

MCP

video-edit-mcp

Added 1 June 2026

Overview

An MCP server for video and audio editing, supporting trimming, merging, effects, overlays, format conversion, audio processing, and YouTube integration. It is written in Python and designed to be used within the Model Context Protocol ecosystem.

Best for

Best for
Developers building AI-driven video editing pipelines within the MCP ecosystem

Use cases

  • Automating video trimming and merging pipelines via MCP clients
  • Applying overlays and effects to videos programmatically
  • Converting video and audio formats as part of a larger workflow

How to use

Install

pip install -r requirements.txt && pip install -e .

Tools exposed

  • uv

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "video_editing": {\n      "command": "uvx",\n      "args": [\n        "--python",\n        "3.11",\n        "video-edit-mcp"\n      ]\n    }\n  }\n}

Notes

An MCP server for video and audio editing, supporting trimming, merging, effects, overlays, format conversion, audio processing, and YouTube integration. It is written in Python and designed to be used within the Model Context Protocol ecosystem.

22 stars on GitHub. Last updated 2025-07-30. Licensed MIT.

Use cases

  • Automating video trimming and merging pipelines via MCP clients
  • Applying overlays and effects to videos programmatically
  • Converting video and audio formats as part of a larger workflow

Pros

  • Open-source with a clear focus on MCP integration for AI tools
  • Supports a wide range of advanced video and audio operations
  • Lightweight Python implementation easy to extend or embed

Cons

  • Small community (22 stars) suggests limited adoption and support
  • Requires an MCP-compatible client or host to function
  • Documentation and examples may be sparse for complex use cases

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open-source with a clear focus on MCP integration for AI tools
  • Supports a wide range of advanced video and audio operations
  • Lightweight Python implementation easy to extend or embed

Cons

  • Small community (22 stars) suggests limited adoption and support
  • Requires an MCP-compatible client or host to function
  • Documentation and examples may be sparse for complex use cases
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