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Youtube MCP Server 9tv
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Youtube MCP Server 9tv

A YouTube MCP server project that provides video search, subtitle extraction, and semantic search functions, and supports integration with AI clients.
Education and learning toolsEntertainment and media#Video Search#Subtitle Extraction#Semantic Search#AI Integration.Python
2.5 points
15

What is YouTube MCP Server?

YouTube MCP Server is an intelligent video processing tool that helps you search for YouTube videos, obtain video subtitles, and intelligently analyze video content. Through the semantic search function, you can search for specific content in videos as if having a conversation with an assistant.

How to use YouTube MCP Server?

Simply install and run the server, then use simple commands in applications that support the MCP protocol (such as Claude). No programming knowledge is required, and you can operate it through natural language.

Use cases

Suitable for researchers to quickly find video materials, students to obtain subtitles for course videos, content creators to analyze popular video content, and any scenario where information needs to be extracted from YouTube videos.

Main Features

Video SearchSearch for YouTube videos without using the official API, and support customizing the number of results.
Subtitle ExtractionAutomatically obtain the subtitle text of any YouTube video.
Semantic SearchIntelligently search the stored video subtitle content, understanding the query intention rather than simple keyword matching.
Content StorageStore video information and subtitles in an intelligent database for easy subsequent retrieval.

Advantages and Limitations

Advantages
Search for videos without a YouTube official API key.
Support natural language queries, simple and intuitive to use.
Intelligent semantic search can understand query intentions.
Can be integrated into various clients that support the MCP protocol.
Limitations
A Google API key is required for content analysis.
Some functions rely on third - party services.
Video subtitle extraction may not be applicable to all videos.

How to Use

Installation Preparation
Ensure that Python 3.8+ and the uv package manager are installed.
Set Up the Environment
Create and activate a virtual environment.
Install Dependencies
Install the required software packages.
Configure the API Key
Add your Google API key to the .env file.
Start the Server
Choose one of the following methods to run the server.

Usage Examples

Find Learning ResourcesSearch for Python programming tutorial videos.
Research Video ContentObtain video subtitles for analysis.
Intelligent Content RetrievalSearch for specific concepts in stored videos.

Frequently Asked Questions

Why is a Google API key required?
How many videos can be searched?
Can subtitles be obtained for all videos?
How can I support this project?

Related Resources

Project GitHub Repository
Source code and latest updates
MCP Protocol Documentation
Official documentation of the Model Context Protocol
Support Us
Support development through Buy Me a Coffee
Installation
Copy the following command to your Client for configuration
"mcpServers": {
  "youtube": {
    "command": "C:\\Path\\To\\Your\\Project\\.venv\\Scripts\\python.exe",
    "args": ["C:\\Path\\To\\Your\\Project\\server.py"],
    "env": {
      "GOOGLE_API_KEY": "your_api_key_here"
    }
  }
}

"mcpServers": {
  "youtube": {
    "command": "uv",
    "args": ["--directory", "C:\\Path\\To\\Your\\Project", "run", "server.py"],
    "env": {
      "GOOGLE_API_KEY": "your_api_key_here"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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