youtube-connector-mcp 0.1.1

YouTube MCP Server for Claude Code

YouTube MCP Server

Connect Claude to YouTube Data API v3 - search videos, get details, fetch comments, access playlists, transcripts, and more.

PyPI Package: youtube-connector-mcp - Install with pip install youtube-connector-mcp

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Prerequisites

Before you begin, make sure you have:

Requirement	How to Get
Python 3.10+	Download Python or install via brew install python3
YouTube API Key	Get it for free from Google Cloud Console - see API Key Setup below
Claude Code	Install from claude.com/code

Important: You need a YouTube API key to use this MCP server. Without it, the server will not work. Get your API key now following the steps below before proceeding.

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Table of Contents

• Prerequisites ← 1. Start here
• Features
• API Key Setup ← 2. Do this first
• Installation ← 3. Then install
• Configuration ← 4. Then configure
• Usage
• Troubleshooting
• License

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Features

Tool	Description
youtube_search	Search videos, channels, playlists with filters (duration, date, type)
youtube_get_video	Get detailed video metadata, statistics, thumbnails
youtube_get_channel	Get channel info, subscriber count, upload playlists
youtube_get_transcript	Retrieve actual video transcript text and segments (requires video to have captions enabled)
youtube_get_comments	Fetch comments for a video (with pagination)
youtube_get_playlist	Get playlist details and video list
youtube_list_playlists	List playlists for a channel
youtube_get_analytics	Get analytics data (requires OAuth for full data)

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API Key Setup

Do this step BEFORE installing and configuring. You need a YouTube API key to use this MCP server.

Step 1: Create a Google Cloud Project

1. Go to Google Cloud Console
2. Create a new project or select an existing one

Step 2: Enable YouTube Data API v3

1. Navigate to APIs & Services > Library
2. Search for "YouTube Data API v3"
3. Click "Enable"

Step 3: Create API Credentials

1. Go to APIs & Services > Credentials
2. Click "Create Credentials" > "API key"
3. Copy your API key

Step 4: Restrict the API Key (Recommended)

1. Click "Edit" on your API key
2. Under "Application restrictions", select "IP addresses"
3. Add your IP address (or leave open for development)
4. Under "API restrictions", select "YouTube Data API v3"

Step 5: Use Your API Key

You have two options:

Option A: Set as Environment Variable (Recommended for security)

Set YOUTUBE_API_KEY environment variable, then use ${YOUTUBE_API_KEY} in your MCP config:

Linux/Mac:

# Add to ~/.bashrc, ~/.zshrc, or ~/.profile
export YOUTUBE_API_KEY="your_api_key_here"

# Reload shell
source ~/.zshrc

Windows (PowerShell):

# Add to $PROFILE
$env:YOUTUBE_API_KEY="your_api_key_here"

# Or set permanently
[System.Environment]::SetEnvironmentVariable('YOUTUBE_API_KEY', 'your_api_key_here', 'User')

Windows (CMD):

setx YOUTUBE_API_KEY "your_api_key_here"

Option B: Put Directly in MCP Config

Paste your API key directly in ~/.claude/mcp_config.json:

{
  "mcpServers": {
    "youtube-connector-mcp": {
      "command": "youtube-connector-mcp",
      "env": {
        "YOUTUBE_API_KEY": "AIzaSyC-Your-Actual-API-Key-Here"
      }
    }
  }
}

Security Note: Option A (environment variable) is safer as it keeps your key out of version control and config files that might be shared.

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Installation

# Option 1: Install from PyPI (Recommended)
pip install youtube-connector-mcp

# Option 2: Install from source
cd youtube-mcp-server
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

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Configuration

Add to your ~/.claude/mcp_config.json:

If installed from PyPI:

{
  "mcpServers": {
    "youtube-connector-mcp": {
      "command": "youtube-connector-mcp",
      "env": {
        "YOUTUBE_API_KEY": "${YOUTUBE_API_KEY}"
      }
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "youtube-connector-mcp": {
      "command": "/path/to/youtube-mcp-server/.venv/bin/python",
      "args": ["-m", "src.main"],
      "cwd": "/path/to/youtube-mcp-server",
      "env": {
        "YOUTUBE_API_KEY": "${YOUTUBE_API_KEY}"
      }
    }
  }
}

Replace /path/to/youtube-mcp-server with your actual path, e.g.: /Users/bytedance/Documents/code/youtube-mcp-server

Environment Variables

Variable	Required	Default	Description
YOUTUBE_API_KEY	Yes	-	YouTube Data API v3 key
YOUTUBE_RATE_LIMIT	No	100	Max requests per second (rate limiting)

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Usage

Restart Claude Code and ask naturally:

"Search for Python tutorials" "Summarize this video: https://youtube.com/watch?v=xxx" "Get the transcript for this video" "How many subscribers does this channel have?"

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Troubleshooting

MCP Server Not Found

Error: No MCP servers configured

Solution:

1. Check that ~/.claude/mcp_config.json exists
2. Verify JSON is valid (no syntax errors)
3. Restart Claude Code after updating config

Python Not Found

Error: command not found: python

Solution:

1. Use python3 instead of python in your config
2. Or provide the full path to your Python executable:

   which python3  # On Mac/Linux
   where python  # On Windows
   

Module Not Found

Error: ModuleNotFoundError: No module named 'mcp'

Solution:

1. Ensure you installed dependencies in the correct environment
2. If using venv, activate it first: source .venv/bin/activate
3. Reinstall dependencies: pip install -r requirements.txt

API Key Issues

Error: 403 Forbidden - quota exceeded

Solution:

1. Check your Google Cloud Console quota
2. Default quota is 10,000 units per day
3. Consider upgrading your plan for higher limits

Import Errors

Error: ImportError: cannot import name '...'

Solution:

1. Ensure you're running from the project root directory
2. Check that cwd is set correctly in MCP config
3. Verify all files exist in src/ directory

Permissions Issues

Error: Permission denied when installing

Solution:

1. Use a virtual environment (recommended)
2. Or use pip install --user for user-space installation
3. Or use pip install --break-system-packages (not recommended)

Transcript Not Available

Error: "No transcript available for video" or "Transcripts are disabled"

Solution:

1. The video may not have captions/subtitles enabled by the creator
2. Auto-generated captions may not be available yet (can take 24+ hours after upload)
3. Try a different video that is known to have captions

Transcript Request Blocked

Error: "YouTube is blocking requests from your IP"

Solution: This can happen when using cloud providers or making too many requests. See the youtube-transcript-api documentation for proxy configuration options.

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License

MIT License - see LICENSE file for details.

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For Developers

If you want to contribute or extend this MCP server, see DEVELOPMENT.md for:

• Running tests
• Project structure
• Adding new tools
• Building and publishing to PyPI