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Mcp Praxis Live
What is Mcp Praxis Live
mcp-praxis-live is a frontend application that integrates with an MCP server specifically designed for Praxis-Live, facilitating multimedia control and interaction.
Use cases
Use cases include adjusting audio levels, enhancing video brightness, and managing multimedia tracks in real-time during presentations or live events.
How to use
To use mcp-praxis-live, obtain an OpenAI API key from the OpenAI Platform, configure it in the settings of the AI chat interface, and start issuing commands to control audio and video settings.
Key features
Key features include an Intelligent AI Assistant with natural language processing, smart integration for real-time control, various configuration options for API key management, and an enhanced chat interface with visual feedback and command history.
Where to use
mcp-praxis-live can be utilized in multimedia production environments, live streaming setups, and any context where audio and video control is necessary.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Praxis Live
mcp-praxis-live is a frontend application that integrates with an MCP server specifically designed for Praxis-Live, facilitating multimedia control and interaction.
Use cases
Use cases include adjusting audio levels, enhancing video brightness, and managing multimedia tracks in real-time during presentations or live events.
How to use
To use mcp-praxis-live, obtain an OpenAI API key from the OpenAI Platform, configure it in the settings of the AI chat interface, and start issuing commands to control audio and video settings.
Key features
Key features include an Intelligent AI Assistant with natural language processing, smart integration for real-time control, various configuration options for API key management, and an enhanced chat interface with visual feedback and command history.
Where to use
mcp-praxis-live can be utilized in multimedia production environments, live streaming setups, and any context where audio and video control is necessary.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
mcp-praxis-live
A frontend with MCP server for Praxis-Live. A work in progress, currently working on the API and connection to the Java backend.
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Key Features:
🤖 Intelligent AI Assistant
- Natural Language Processing: Understands commands like "increase volume of track 1 to 80" or "make the video brighter"
- Context Awareness: Knows the current state of all audio/video tracks and nodes
- Action Execution: Automatically applies changes to your multimedia controls
🔧 Smart Integration
- Real-time Control: AI commands directly update sliders and controls
- Multi-modal Support: Controls audio, video, and Praxis-Live nodes
- Action Feedback: Shows exactly what changes were made
⚙️ Configuration Options
- API Key Management: Built-in settings to configure your OpenAI API key
- Demo Mode: Works without API key using pattern matching
- Secure Storage: API keys stored locally for convenience
💬 Enhanced Chat Interface
- Visual Feedback: Shows processing status and action results
- Command History: Keeps track of all interactions
- Error Handling: Graceful fallbacks when API is unavailable
How to Use:
- Get an OpenAI API Key: Visit OpenAI Platform
- Configure the Key: Click the settings icon in the AI chat and enter your key
- Start Chatting: Try commands like:
- "Set volume of master audio to 90"
- "Increase video brightness by 30"
- "Mute all audio tracks"
- "Make the video more saturated"
Example Commands:
- Audio: "Turn up track 2", "Mute the master", "Set pan to center"
- Video: "Brighten the main video", "Reduce opacity to 50%", "Increase contrast"
- Complex: "Make track 1 louder and pan it left while brightening the video"
The AI assistant now provides intelligent, context-aware control over your entire multimedia system with natural language commands!
DevTools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.