YouTube Translate

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

Hosted remote MCP

Production endpoint: https://api.youtubetranslate.com/mcp using streamable HTTP.

Preferred authentication is OAuth. The server returns a protected-resource discovery challenge, and the API provides public-client registration, S256 PKCE, owner consent, short-lived access tokens, refresh rotation, and revocation. Send Authorization: Bearer <access token> after linking your account.

For legacy clients, send an account-owned user key on every request:

X-API-Key: ut-user-...

For local stdio, YOUTUBE_TRANSLATE_API_KEY remains supported. Every hosted request is authenticated before tool discovery or invocation, and the transport is stateless. No shared administrative credential is used. The account page provides a disconnect action that revokes an assistant's token family.

Tools

• start_video: queue a YouTube URL and return a job ID.
• get_video_status: check processing state by job ID or YouTube ID.
• get_transcript: return text or timestamped segments.
• get_translation: request and return a translated transcript.
• get_subtitles: generate and return translated SRT or VTT.
• get_summary: generate short, medium, or long summaries.
• search_video: find passages with global positions and timestamps.

High-level tools wait up to TOOL_TIMEOUT_SECONDS (75 by default). Longer videos return a processing message and should be retried by the agent.

Run remotely

uv run youtube-translate-mcp --transport streamable-http --host 0.0.0.0 --port 8000

MCP_ALLOWED_HOSTS must include the public hostname used by the reverse proxy. Requests without X-API-Key are rejected.

ChatGPT and Claude

Use the hosted URL with OAuth where the client supports it. Account-owned API-key headers remain an alternative. The production OAuth flow and MCP invocation have been verified with an outside client, but not through ChatGPT's or Claude's own connection UI. Google account signup still needs this application's configured OIDC client. Public directory review and submission are not complete. Do not promise in-chat purchase: current ChatGPT plugin rules prohibit selling digital credits through the plugin.

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 pippip install youtube-translate-mcp

Or install from source:

# Clone the repositorygit clone https://github.com/yourusername/youtube-translate-mcp.gitcd youtube-translate-mcp
# Using uv (recommended)uv pip install -e .
# Using pippip install -e .

Usage

To run the server:

# Using stdio transport (default)YOUTUBE_TRANSLATE_API_KEY=your_api_key youtube-translate-mcp
# Using SSE transportYOUTUBE_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 imagedocker build -t youtube-translate-mcp .
# Run with stdio transportdocker run -e YOUTUBE_TRANSLATE_API_KEY=your_api_key youtube-translate-mcp
# Run with SSE transportdocker 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 venvsource .venv/bin/activate  # On Windows: .venv\Scripts\activate
# Install dependencies using uvuv pip install -e .
# Alternatively, with standard toolspython -m venv .venvsource .venv/bin/activate  # On Windows: .venv\Scripts\activatepip 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.

Directory submissions and launch learnings

See submission/README.md for the ChatGPT review status, Claude preparation, exact findings and fixes, evidence, and remaining steps. The cross-product submission playbook captures reusable requirements and failure modes for future services.

License

MIT