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YouTube Translate MCP

by brianshin22
GitHub
Python
MIT License
3
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YouTube Translate MCP

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A Model Context Protocol (MCP) server for accessing the YouTube Translate API, allowing you to obtain transcripts, translations, and summaries of YouTube videos.

Features

  • Get transcripts of YouTube videos

  • Translate transcripts to different languages

  • Generate subtitles in SRT or VTT format

  • Create summaries of video content

  • Search for specific content within videos

Installation

Installing via Smithery

To install youtube-translate-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @brianshin22/youtube-translate-mcp --client claude

Installing Manually

This package requires Python 3.12 or higher:

# Using uv (recommended) uv pip install youtube-translate-mcp # Using pip pip install youtube-translate-mcp

Or install from source:

# Clone the repository git clone https://github.com/yourusername/youtube-translate-mcp.git cd youtube-translate-mcp # Using uv (recommended) uv pip install -e . # Using pip pip install -e .

Usage

To run the server:

# Using stdio transport (default) YOUTUBE_TRANSLATE_API_KEY=your_api_key youtube-translate-mcp # Using SSE transport YOUTUBE_TRANSLATE_API_KEY=your_api_key youtube-translate-mcp --transport sse --port 8000

Docker

You can also run the server using Docker:

# Build the Docker image docker build -t youtube-translate-mcp . # Run with stdio transport docker run -e YOUTUBE_TRANSLATE_API_KEY=your_api_key youtube-translate-mcp # Run with SSE transport docker run -p 8000:8000 -e YOUTUBE_TRANSLATE_API_KEY=your_api_key youtube-translate-mcp --transport sse

Environment Variables

  • YOUTUBE_TRANSLATE_API_KEY: Required. Your API key for accessing the YouTube Translate API.

Deployment with Smithery

This package includes a smithery.yaml file for easy deployment with Smithery.

To deploy, set the YOUTUBE_TRANSLATE_API_KEY configuration parameter to your YouTube Translate API key.

Development

Prerequisites

  • Python 3.12+

  • Docker (optional)

Setup

# Create and activate a virtual environment using uv (recommended) uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate # Install dependencies using uv uv pip install -e . # Alternatively, with standard tools python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate pip install -e .

Testing with Claude Desktop

To test with Claude Desktop (macOS/Windows only), you'll need to add your server to the Claude Desktop configuration file located at ~/Library/Application Support/Claude/claude_desktop_config.json.

Method 1: Local Development

Use this method if you want to test your local development version:

{ "mcpServers": { "youtube-translate": { "command": "uv", "args": [ "--directory", "/ABSOLUTE/PATH/TO/youtube-translate-mcp", "run", "-m", "youtube_translate_mcp" ], "env": { "YOUTUBE_TRANSLATE_API_KEY": "YOUR_API_KEY" } } } }

Make sure to replace /ABSOLUTE/PATH/TO/youtube-translate-mcp with the actual path to your project directory.

Method 2: Docker-based Testing

If you prefer to test using Docker (recommended for more reproducible testing):

{ "mcpServers": { "youtube-translate": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "YOUTUBE_TRANSLATE_API_KEY", "youtube-translate-mcp" ], "env": { "YOUTUBE_TRANSLATE_API_KEY": "YOUR_API_KEY" } } } }

Replace YOUR_API_KEY with your actual YouTube Translate API key.

For more information on using MCP servers with Claude Desktop, see the MCP documentation.

Debugging

  • The normal MCP Inspector has a built in timeout for MCP tool calls, which is generally too short for these video processing calls (as of March 13, 2025). Better to use Claude Desktop and look at the MCP logs from Claude at ~/Library/Logs/Claude/mcp-server-{asfasf}.log.

  • Can do tail -f {log-file}.log to follow as you interact with Claude.

License

MIT

Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.

  1. Features
    1. Installation
      1. Installing via Smithery
      2. Installing Manually
    2. Usage
      1. Docker
        1. Environment Variables
          1. Deployment with Smithery
            1. Development
              1. Prerequisites
              2. Setup
              3. Testing with Claude Desktop
              4. Debugging
            2. License

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