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YouTube MCP Server

@adamanz

Repository

About YouTube MCP Server

An MCP server that enables uploading videos to YouTube through Claude Desktop or any MCP-compatible client

#youtube-mcp-server#video-upload#mcp-client

Basic information

Category

Media & Design

License

MIT license

Runtime

python

Transports

stdio

Publisher

adamanz

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "youtube-mcp-server-adamanz": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is YouTube MCP Server?

An MCP (Model Context Protocol) server that enables uploading videos to YouTube through Claude Desktop or any MCP-compatible client. It handles OAuth2 authentication, quota monitoring, and video metadata configuration.

How to use YouTube MCP Server?

Install Python 3.10+, clone the repository, create a virtual environment, and install dependencies. Set up a Google Cloud project with YouTube Data API v3 and OAuth2 credentials, then configure Claude Desktop to point to youtube_uploader.py. On first use, run the setup_youtube_auth tool with your OAuth2 client details, then use the upload_video tool to upload files.

Key features of YouTube MCP Server

  • Upload video files with customizable metadata
  • OAuth2 authentication with YouTube API
  • Check your YouTube API quota usage
  • List available video categories by region
  • Built‑in credential configuration tool

Use cases of YouTube MCP Server

  • Schedule video uploads through a Claude Desktop conversation.
  • Automate batch uploads by scripting the upload_video tool.
  • Monitor YouTube API quota before uploading large projects.

FAQ from YouTube MCP Server

What does YouTube MCP Server do?

It lets you upload videos to your YouTube channel directly from any MCP‑compatible client (e.g., Claude Desktop), handling authentication, metadata, and resumable uploads.

What prerequisites are needed?

Python 3.10 or higher, a Google Cloud project with the YouTube Data API v3 enabled, OAuth2 credentials (downloaded as JSON), and an MCP client such as Claude Desktop.

Where are OAuth2 tokens stored?

Tokens are stored locally in a token.json file. The server automatically refreshes expired tokens.

What are the YouTube API quota limits?

Each upload consumes approximately 1,600 units out of the daily 1,600,000‑unit quota. If exceeded, you must wait 24 hours for a reset.

How do I resolve authentication errors?

Delete the token.json file and re‑run the setup_youtube_auth tool to re‑authenticate.

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