Question 1

What is the YouTube Translate MCP Server?

Accepted Answer

The YouTube Translate MCP Server is a tool that allows you to access transcripts, translations, and summaries of YouTube videos programmatically. It uses the YouTube Translate API and adheres to the Model Context Protocol (MCP) for seamless integration with AI models.

Question 2

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It enables AI models to access and interact with external data sources and tools.

Question 3

What are the key features of the YouTube Translate MCP Server?

Accepted Answer

Key features include automated transcript generation, multi-language translation support, efficient summarization, subtitle creation, Docker support, and Smithery integration.

Question 4

What are some use cases for the YouTube Translate MCP Server?

Accepted Answer

Use cases include market research, education and e-learning, content creation, journalism and media monitoring, legal and compliance, and improving video accessibility.

Question 5

How do I install the YouTube Translate MCP Server?

Accepted Answer

You can install it using pip or uv. You can find detailed instructions in the Installation section of this documentation.

Question 6

Do I need an API key to use the server?

Accepted Answer

Yes, you need a YouTube Translate API key from Google Cloud Platform to access the YouTube Translate API.

Question 7

How do I run the server?

Accepted Answer

You can run the server using the command line, providing your API key as an environment variable.

Question 8

Can I use the server with Docker?

Accepted Answer

Yes, the server supports Docker. You can find instructions on how to build and run the Docker image in the Docker section of this documentation.

Question 9

What is Smithery?

Accepted Answer

Smithery is a platform that simplifies the deployment and configuration of MCP servers. The YouTube Translate MCP server includes a `smithery.yaml` file for easy deployment with Smithery.

Question 10

How can I test the server with Claude Desktop?

Accepted Answer

You can test it by adding the server configuration to the Claude Desktop configuration file. There are instructions for both local development and Docker-based testing in the documentation.

Question 11

What is UBOS and how does it integrate with the YouTube Translate MCP Server?

Accepted Answer

UBOS (Unified Business Orchestration System) is a full-stack AI agent development platform. It can ingest the data extracted by the YouTube Translate MCP server, process it with AI agents and LLM models, and generate actionable insights. This enables automated workflows and enhanced decision-making.

Question 12

Where can I find the Claude Desktop configuration file?

Accepted Answer

The configuration file is located at `~/Library/Application Support/Claude/claude_desktop_config.json`.

Question 13

How do I debug issues with the server?

Accepted Answer

For debugging, use Claude Desktop and check the MCP logs from Claude, typically located at `~/Library/Logs/Claude/mcp-server-{asfasf}.log`.

Question 14

What license is the YouTube Translate MCP Server released under?

Accepted Answer

The server is released under the MIT license.

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