Youtube-MCP
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.
Install / Use
claude mcp add IA-Programming -- npx -y github:IA-Programming/Youtube-MCPIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Data & AnalyticsSupported Platforms
Our assessment of Youtube-MCP
Youtube-MCP scores 73/100 on our quality scale, 544th of 592 Data & Analytics skills we index.
Its MCP Server is 4.4 KB long, well organised into 17 sections with 6 code examples: a solid amount of guidance for an agent.
It has 42 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 1.6 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 85/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Youtube-MCP compared with similar skills
All 4 of these similar skills score higher than Youtube-MCP; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| Youtube-MCP (this skill)by IA-Programming | 73 | 42 | 19mo ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 101.2k | 2d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 101.1k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.6k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.5k | today | CLAUDE.md |
Frequently asked questions
- How do I install Youtube-MCP?
- Run
claude mcp add IA-Programming -- npx -y github:IA-Programming/Youtube-MCP. The install tabs above show the steps for each supported agent. - Which AI agents does Youtube-MCP work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is Youtube-MCP safe to use?
- It is MIT-licensed and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is Youtube-MCP still maintained?
- The repository was last updated about 1.6 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubYouTube 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
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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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
