YouTube MCP Server
Provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
README
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.
Support Us
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.
<a href="https://www.buymeacoffee.com/blazzmocompany"><img src="https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=blazzmocompany&button_colour=40DCA5&font_colour=ffffff&font_family=Cookie&outline_colour=000000&coffee_colour=FFDD00"></a>
Your contributions go a long way in fueling our passion for creating intelligent and user-friendly applications.
Table of Contents
- YouTube MCP Server
- Features
- Prerequisites
- Installation
- Running the Server
- Available Tools
- Using with MCP Clients
- Debugging
- Contributing
- License
Features
- Search YouTube videos without using the official API
- Retrieve video transcripts
- Store video information and transcripts in a vector database
- Perform semantic search over stored video transcripts
Prerequisites
- Python 3.8+
- Google API key for embeddings
- uv package manager
Installation
-
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
- Install dependencies using uv:
uv pip install -r requirements.txt
- Create a
.envfile with your Google API key:
GOOGLE_API_KEY=your_api_key_here
Running the Server
There are two ways to run the MCP server:
1. Direct Method
To start the MCP server directly:
uv run python server.py
2. Configure for Claude.app
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"
}
}
}
Available Tools
The server provides the following tools:
-
search-youtube: Search for YouTube videos based on a query- Parameters:
- query: Search query string
- max_results: Maximum number of results to return (default: 5)
- Parameters:
-
get-transcript: Get the transcript of a YouTube video- Parameters:
- video_url: URL of the YouTube video
- Parameters:
-
store-video-info: Store video information and transcript in the vector database- Parameters:
- video_url: URL of the YouTube video
- metadata: Optional metadata about the video
- Parameters:
-
search-transcripts: Search stored video transcripts using semantic search- Parameters:
- query: Search query
- limit: Maximum number of results to return (default: 3)
- Parameters:
Using with MCP Clients
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.
Example Usage
- Start the server using one of the methods described above
- Open Claude Desktop App
- Look for the hammer icon to verify that the YouTube tools are available
- You can now use commands like:
- "Search for Python tutorial videos"
- "Get the transcript of this video: [video_url]"
- "Search through stored video transcripts about machine learning"
Debugging
If you encounter any issues:
- Make sure your Google API key is correctly set in the
.envfile - Check that all dependencies are installed correctly
- Verify that the server is running and listening for connections
- Look for any error messages in the server output
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.