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Mux MCP Server

Video streaming API

videostreamingencoding

About

## Mux MCP Server: Video Infrastructure for Developers The **Mux MCP Server** integrates the modern video infrastructure platform directly into Google Antigravity, enabling AI assistants to upload, stream, and analyze video content programmatically. This developer-focused integration brings professional video streaming capabilities to your workflow without complex infrastructure management. ### Why Mux MCP? - **Developer-First Design**: Clean APIs and straightforward integration for video streaming without media expertise - **Automatic Encoding**: Upload once and Mux handles adaptive bitrate encoding for all devices - **Real-Time Analytics**: Access viewer engagement, quality metrics, and performance data instantly - **Live Streaming**: Professional live streaming with low latency and global distribution - **Data API**: Comprehensive analytics for understanding viewer behavior and content performance ### Key Features #### 1. Video Upload ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Upload this video file to Mux and get a playback URL for embedding" }], tools=[{ "name": "mux_upload", "description": "Upload and process videos" }] ) ``` #### 2. Live Streaming ```python # Create live streams response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Create a new live stream with low latency mode and get the RTMP credentials" }], tools=[{"name": "mux_live", "description": "Manage live streams"}] ) ``` #### 3. Video Analytics ```python # Access video metrics response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Show me viewer engagement metrics and watch time for our videos this week" }], tools=[{"name": "mux_data", "description": "Access video analytics"}] ) ``` #### 4. Asset Management ```python # Manage video assets response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "List all our video assets and their current encoding status" }], tools=[{"name": "mux_assets", "description": "Manage video assets"}] ) ``` ### Configuration ```json { "mcpServers": { "mux": { "command": "npx", "args": ["-y", "@anthropic/mcp-mux"], "env": { "MUX_TOKEN_ID": "your-token-id", "MUX_TOKEN_SECRET": "your-token-secret" } } } } ``` ### Use Cases **Video Platforms**: Build video-on-demand platforms with professional encoding and global delivery. **Live Events**: Stream live events with studio-quality encoding and real-time viewer analytics. **E-Learning**: Create video-based courses with engagement tracking and completion metrics. **User-Generated Content**: Accept and process video uploads with automatic quality optimization. The Mux MCP Server brings modern video infrastructure directly into your development workflow, enabling professional video streaming without ops complexity.

Installation

Configuration
{
  "mcpServers": {
    "mux": {
      "mcpServers": {
        "mux": {
          "env": {
            "MUX_TOKEN_ID": "your-token-id",
            "MUX_TOKEN_SECRET": "your-token-secret"
          },
          "args": [
            "-y",
            "mux-mcp-server"
          ],
          "command": "npx"
        }
      }
    }
  }
}

How to Use

  1. 1Get Mux API credentials
  2. 2Configure environment
  3. 3Stream video

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