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Youtube Semantic Search
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Youtube Semantic Search

An MCP server that provides functions for YouTube video search, subtitle extraction, and semantic search
Education and learning toolsEntertainment and media#Video Search#Subtitle Extraction#Semantic Search.Python
2.5 points
14

What is the YouTube MCP Server?

The YouTube MCP Server is a tool built on the Model Context Protocol (MCP) that allows you to easily search for YouTube videos, retrieve subtitles, and perform semantic analysis. It can achieve these functions without using the official YouTube API.

How to use the YouTube MCP Server?

Simply start the server, then connect via an MCP-supported client (such as the Claude desktop application) and execute the corresponding commands. You can quickly get started without complex configuration.

Applicable Scenarios

Suitable for professionals and educators who need to efficiently search for YouTube video content, extract subtitles, or deeply explore video information.

Main Features

Search YouTube VideosSearch for relevant videos on YouTube based on keywords.
Get SubtitlesExtract the subtitles from a specified YouTube video.
Store Video InformationSave video information and its subtitles to a vector database for easy subsequent queries.
Semantic SearchPerform intelligent semantic search based on the stored data to find more relevant videos.

Advantages and Limitations

Advantages
It can operate without relying on the official YouTube API.
Supports efficient semantic search functions.
It is simple and easy to use, suitable for all types of users.
It is open source and free to use.
Limitations
It requires the installation of a Python environment and related dependencies.
It has certain requirements for network bandwidth.
It only supports specific types of search and analysis.

How to Use

Installation and Configuration
After downloading the project code, set up a Python virtual environment and install the dependencies according to the instructions file.
Start the Server
Run the command to start the YouTube MCP server.
Connect the Client
Add the server address in an MCP-supported client and start using it.

Usage Examples

Search for Programming Teaching VideosEnter the keyword 'Programming Teaching' to quickly find multiple high-quality teaching videos.
Extract Subtitles from a Specific VideoExtract the complete subtitles from a popular technology video for further analysis.
Semantic Search ExampleSearch for segments related to deep learning in the stored video subtitles.

Frequently Asked Questions

How to ensure the security of my Google API key?
Why can't subtitles be extracted from some videos?
Can the server run offline?

Related Resources

GitHub Repository
View the project's source code and detailed documentation.
Support Us
Support our development work through donations.
User Manual
Learn more about the detailed usage instructions of the server.
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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