MoviePy MCP Server
An LLM-friendly Model Context Protocol server for video and audio editing, built on MoviePy v2 and FastMCP. It lets MCP clients trim, merge, resize, overlay, mix audio, and render video through natural language.
README
MoviePy MCP Server
An LLM-friendly Model Context Protocol server for video and audio editing, built on MoviePy v2 and FastMCP. It lets MCP clients (Claude Desktop, Claude Code, Cursor, etc.) trim, merge, resize, overlay, mix audio, and render video through natural language.
Design
The server is built around an in-memory clip registry:
load_video/load_audio/load_imagereturns aclip_id.- Every editing tool takes a
clip_idand returns a newclip_id— operations chain without touching disk, and source clips are never mutated, so an agent can branch or retry any step. export_clipis the only tool that renders a file.
Every tool returns uniform metadata (duration_seconds, size, fps, has_audio, history), so the model always knows the state of an edit without extra probing. Errors are actionable: they name the bad argument, list known clip_ids, and suggest the fix.
Requirements
- Python 3.10+
- FFmpeg on your PATH (
sudo apt install ffmpeg/brew install ffmpeg)
Installation
git clone <your-repo-url> moviepy-mcp
cd moviepy-mcp
pip install -e .
# or with uv:
uv pip install -e .
Run it directly to verify:
moviepy-mcp
Client configuration
Cursor (~/.cursor/mcp.json)
Add a moviepy entry under mcpServers (same shape as other local uv servers). Restart Cursor or reload MCP after saving:
{
"mcpServers": {
"moviepy": {
"command": "uv",
"args": [
"run",
"--directory",
"C:/Users/vivek/projects/moviepy-mcp",
"python",
"src/moviepy_mcp/server.py"
]
}
}
}
Replace the --directory path with your clone of this repo. uv run uses the project’s pyproject.toml / .venv, so you do not need a global moviepy-mcp install.
Claude Desktop / Claude Code (stdio)
If the package is installed (pip install -e . or uv pip install -e .):
{
"mcpServers": {
"moviepy": {
"command": "moviepy-mcp"
}
}
}
Or without installing, via uv (one-shot deps):
{
"mcpServers": {
"moviepy": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"moviepy",
"python",
"/path/to/moviepy-mcp/src/moviepy_mcp/server.py"
]
}
}
}
Tools
| Category | Tools |
|---|---|
| Load / create | load_video, load_audio, load_image, create_color_clip, create_text_clip |
| Inspect | list_clips, get_clip_info, delete_clip |
| Time | trim, concatenate, change_speed, loop_clip |
| Geometry | resize, crop, rotate, mirror |
| Visual FX | fade, to_grayscale, adjust_colors |
| Audio | set_volume, extract_audio, remove_audio, attach_audio |
| Compositing | overlay_clip |
| Output | save_frame, export_clip |
Example agent workflow
"Take intro.mp4, keep seconds 5–20, add the title 'Q2 Review' for the first 4 seconds, fade out at the end, and save as final.mp4."
The agent will typically call:
load_video(path="intro.mp4") -> video_a1b2c3d4
trim(clip_id="video_a1b2c3d4", start_seconds=5, end_seconds=20)
create_text_clip(text="Q2 Review", font_size=64, duration_seconds=4)
overlay_clip(base_clip_id=..., overlay_clip_id=..., position="top")
fade(clip_id=..., fade_out_seconds=1.5)
export_clip(clip_id=..., output_path="final.mp4")
Notes
- Text rendering requires a font; pass
font="/path/to/font.ttf"tocreate_text_clipif the default is unavailable on your system. - GIF export uses
write_gif(defaults to 12 fps); everything else goes through FFmpeg. - The registry lives in server memory — restarting the server clears all clip_ids.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。