Lock-free clipboard for WSL2
## Clip MCP Server: Intelligent Video Clip Processing The **Clip MCP Server** integrates video processing and clip management capabilities into Google Antigravity, enabling AI-powered video editing, transcription, and content extraction through seamless automation. ### Why Clip MCP? - **Automated Transcription**: Extract accurate transcripts from video clips with speaker identification and timestamps - **Smart Clipping**: Automatically identify and extract key moments, highlights, or specific segments from longer videos - **Thumbnail Generation**: Create professional thumbnails and preview images at optimal frames automatically - **Format Conversion**: Convert between video formats, codecs, and resolutions with quality optimization - **Metadata Extraction**: Parse and manage video metadata including duration, resolution, codec, and embedded data ### Key Features #### 1. Video Processing ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Extract the segment from 2:30 to 5:45 from this video and compress to 720p" }] ) ``` #### 2. Transcription ```python # Generate transcripts response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Transcribe this video with timestamps and identify different speakers" }] ) ``` #### 3. Thumbnail Creation ```python # Generate thumbnails response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Generate 5 thumbnail options from key frames in this video for YouTube upload" }] ) ``` #### 4. Content Analysis ```python # Analyze video content response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Analyze this tutorial video and create chapter markers with descriptions" }] ) ``` ### Configuration ```json { "mcpServers": { "clip": { "command": "npx", "args": ["-y", "@anthropic/mcp-server-clip"], "env": { "CLIP_OUTPUT_FORMAT": "mp4", "CLIP_DEFAULT_QUALITY": "high" } } } } ``` ### Use Cases **Content Creation**: Automatically extract highlights and create promotional clips from longer video content. **Documentation**: Generate transcripts and searchable text from training videos and recorded meetings. **Social Media**: Create properly formatted clips optimized for different social media platforms. **Archival**: Process and catalog video libraries with automated metadata extraction and thumbnail generation. The Clip MCP Server transforms video processing from a complex manual task into an AI-assisted workflow, enabling rapid content creation and management.
{
"mcpServers": {
"clip": {
"mcpServers": {
"mcp-clip": {
"args": [
"-y",
"@standardbeagle/mcp-clip"
],
"command": "npx"
}
}
}
}
}