YouTube MCP Server
A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
Power your agent
Yayıncıdan kurulum. PlugMCP uç noktası değildir.
Host a copy with our keys and logs.
Registry'de henüz paketlenmiş bir sürüm yok. Deponun README dosyasını izleyin.
Uzak URL mi, yoksa makinenizde bir komut mu? İki kurulum arasındaki fark
PlugMCP’de çalıştır
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
BaşlatYayıncıdan
A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.
If you find this project helpful and would like to support future projects, consider buying us a coffee! Your support helps us continue building innovative AI solutions.
Your contributions go a long way in fueling our passion for creating intelligent and user-friendly applications.
Clone this repository
Create and activate a virtual environment using uv:
uv venv
# On Windows:
.venv\Scripts\activate
# On Unix/MacOS:
source .venv/bin/activate
uv pip install -r requirements.txt
.env file with your Google API key:GOOGLE_API_KEY=your_api_key_here
There are two ways to run the MCP server:
To start the MCP server directly:
uv run python server.py
Add to your Claude settings without using any package manager this works for windows:
"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"
}
}
}
Using Uv package manager this works for windows:
"mcpServers": {
"youtube": {
"command": "uv",
"args": ["--directory", "C:\\Path\\To\\Your\\Project", "run", "server.py"],
"env": {
"GOOGLE_API_KEY": "your_api_key_here"
}
}
}
The server provides the following tools:
search-youtube: Search for YouTube videos based on a query
get-transcript: Get the transcript of a YouTube video
store-video-info: Store video information and transcript in the vector database
search-transcripts: Search stored video transcripts using semantic search
This server can be used with any MCP-compatible client, such as Claude Desktop App. The tools will be automatically discovered and made available to the client.
If you encounter any issues:
.env fileContributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic sear
Genel bakış
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.
Araçlar
Henüz araç listesi yok. Uzak sunucular ilk sağlık kontrolünden sonra bir liste alır.
SSS
Bu sayfadan Cursor, Claude Desktop, Claude Code veya VS Code için stdio yapılandırmasını kopyalayın. PlugMCP proxy'sini değil, yayıncının kurulumunu kullanır.
Bu kayıtta gerekli bir ortam değişkeni listelenmiyor.
Youtube yerel olarak stdio üzerinden çalışır.
Son kontrol: 2026-10-27. YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.