MCP Media Server

Name: MCP Media Server
Author: Bzcasper

@Bzcasper

リポジトリ

MCP Media Server について

概要はまだありません

#mcp-media-server #media-processing #ai-integration

基本情報

カテゴリ

メディアとデザイン

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

Bzcasper

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-media-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Media Server?

MCP Media Server is a custom MCP server built with Python that enables AI assistants like Claude to interact with media files, perform video processing, and integrate with Supabase and Pinecone for data storage and vector search. It provides YouTube downloading, FFmpeg processing, and RESTful API endpoints for media workflows.

How to use MCP Media Server?

Install manually (Python 3.10+, FFmpeg, dependencies) or via Docker. Run with python main.py for stdio transport, python main.py --transport sse for SSE, or python main.py --api to enable the REST API. Optionally use --transport sse --api for both. For production, deploy with Docker Compose and configure a systemd service. Integrate with Claude Desktop by adding an MCP server entry in its settings JSON.

Key features of MCP Media Server

YouTube video downloading via yt-dlp
Video processing with FFmpeg
Supabase integration for metadata storage
Pinecone integration for vector search
MCP server for AI assistant (Claude) integration
RESTful API gateway for HTTP access
Webhook, batch processing, and caching support
User authentication and API key management

Use cases of MCP Media Server

Download YouTube videos and process them for analysis
Perform semantic video search using vector embeddings
Integrate media processing into AI assistant workflows (e.g., Claude)
Run automated media pipelines with scheduled tasks and webhooks
Deploy a production-grade media server with Docker and monitoring

FAQ from MCP Media Server

What are the prerequisites to run MCP Media Server?

Python 3.10+, FFmpeg, a Supabase account, a Pinecone account, and an OpenAI API key (for embeddings). Docker and Docker Compose are needed for containerized deployment.

How do I start the MCP server?

Run python main.py from the project root. For SSE transport use python main.py --transport sse. To enable the API server add --api or combine both with --transport sse --api.

How can I integrate MCP Media Server with Claude Desktop?

In Claude Desktop's settings, add a new MCP server with the command pointing to your Python executable and arguments pointing to main.py. The server uses stdio transport by default.

What transport modes are available?

Two transport modes are available: stdio (default, for direct Claude Desktop integration) and SSE (Server-Sent Events, for remote HTTP-based connections).

Where are downloaded and processed files stored?

Files are stored locally in the downloads/, processed/, thumbnails/, and cache/ directories within the project folder. Logs go to logs/.

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