MCP Media Server
Overview
what is MCP Media Server?
MCP Media Server is a custom server built with Python for media processing, enabling AI assistants to interact with media files, perform video processing, and integrate with Supabase and Pinecone for data storage and vector search.
how to use MCP Media Server?
To use the MCP Media Server, clone the repository, set up the environment, and run the server using Python or Docker. You can also integrate it with AI assistants like Claude for enhanced functionality.
key features of MCP Media Server?
- YouTube video downloading using yt-dlp
- Video processing with FFmpeg
- Integration with Supabase for metadata storage
- Pinecone integration for vector search
- RESTful API for various media operations
- Webhook support and user authentication
use cases of MCP Media Server?
- Downloading and processing YouTube videos.
- Integrating with AI assistants for media interaction.
- Performing semantic searches on video content.
FAQ from MCP Media Server?
- What are the prerequisites for using MCP Media Server?
You need Python 3.10 or higher, FFmpeg, and accounts for Supabase and Pinecone.
- Can I run MCP Media Server in Docker?
Yes! MCP Media Server supports Docker for containerized deployment.
- How do I access the API documentation?
Once the API server is running, access the documentation at http://localhost:9000/docs.
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