youtube

Klavis-AI/klavis/mcp_servers/youtube

🔗 Latest commit:7be98c8

🕒 Updated:Sep 9, 2025, 01:06 PM

Python

Social Media

Klavis AI (YC X25): Open Source MCP integration for AI applications

MCP Trust Score

Based on our comprehensive evaluation criteria

🤖 Evaluated by gemini-2.5-flashFix

Trust Score56/100

• Basic MCP protocol features implemented (12/40)
• GitHub community is developing well (18/20)
• Optimal dependency management (20/20)
• Room for improvement in deployment maturity
• Documentation (8/8)
• Archestra MCP Trust score badge is missing

GitHub Metrics

Repository statistics and activity

⭐ GitHub Stars:3703

👥 Contributors:13

📋 Total Issues:18

📦 Has Releases:No

🔧 Has CI/CD Pipeline:No

Configuration

Configuration example extracted from README.md for Claude Desktop and other clients.

🤖 Evaluated by gemini-2.5-flashFix

{
  "youtube-mcp-server-docker": {
    "command": "docker",
    "args": [
      "run",
      "-p",
      "5000:5000",
      "--env-file",
      ".env",
      "youtube-mcp-server"
    ],
    "env": {
      "YOUTUBE_API_KEY": "your_youtube_api_key_here",
      "YOUTUBE_MCP_SERVER_PORT": "5000",
      "WEBSHARE_PROXY_USERNAME": "your_proxy_username",
      "WEBSHARE_PROXY_PASSWORD": "your_proxy_password"
    },
    "docker_image": ".env"
  },
  "youtube-mcp-server-python": {
    "command": "python",
    "args": [
      "mcp_servers/youtube/server.py"
    ],
    "env": {
      "YOUTUBE_API_KEY": "your_youtube_api_key_here",
      "YOUTUBE_MCP_SERVER_PORT": "5000",
      "WEBSHARE_PROXY_USERNAME": "your_proxy_username",
      "WEBSHARE_PROXY_PASSWORD": "your_proxy_password"
    }
  }
}

MCP Protocol Support

Implemented MCP protocol features

🤖 Evaluated by gemini-2.5-flashFix

Tools:✓

Prompts:✗

Resources:✗

Sampling:✗

Roots:✗

Logging:✗

STDIO Transport:✗

HTTP Transport:✓

OAuth2 Auth:✗

Dependencies

8 dependencies

Libraries and frameworks used by this MCP server

🤖 Evaluated by gemini-2.5-flashFix

Main

mcp

fastapi

uvicorn

youtube-transcript-api

Medium

pydantic

aiohttp

python-dotenv

Light

typing-extensions

README.md

YouTube MCP Server

A Model Context Protocol (MCP) server for YouTube integration. Retrieve video transcripts, details, and metadata using YouTube's Data API.

🚀 Quick Start - Run in 30 Seconds

🌐 Using Hosted Service (Recommended for Production)

Get instant access to YouTube with our managed infrastructure - no setup required:

🔗 Get Free API Key →

pip install klavis
# or
npm install klavis

from klavis import Klavis

klavis = Klavis(api_key="your-free-key")
server = klavis.mcp_server.create_server_instance("YOUTUBE", "user123")

🐳 Using Docker (For Self-Hosting)

# Pull latest image
docker pull ghcr.io/klavis-ai/youtube-mcp-server:latest


# Run YouTube MCP Server
docker run -p 5000:5000 -e API_KEY=$API_KEY \
  ghcr.io/klavis-ai/youtube-mcp-server:latest

API Key Setup: Get your YouTube Data API key from the Google Cloud Console and enable the YouTube Data API v3.

🛠️ Available Tools

Video Transcripts: Retrieve full video transcripts with timestamps
Video Details: Get video metadata including title, description, statistics
Video Search: Search for videos by keywords and filters
Channel Information: Get channel details and video listings
Playlist Management: Access playlist contents and metadata

📚 Documentation & Support

Resource	Link
📖 Documentation	docs.klavis.ai
💬 Discord	Join Community
🐛 Issues	GitHub Issues

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📜 License

MIT License - see LICENSE for details.

🚀 Supercharge AI Applications

Get Free API Key • Documentation • Discord

Resources

GitHub Repository

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README.md

YouTube MCP Server

A Model Context Protocol (MCP) server for YouTube integration. Retrieve video transcripts, details, and metadata using YouTube's Data API.

🚀 Quick Start - Run in 30 Seconds

🌐 Using Hosted Service (Recommended for Production)

Get instant access to YouTube with our managed infrastructure - no setup required:

🔗 Get Free API Key →

pip install klavis
# or
npm install klavis

from klavis import Klavis

klavis = Klavis(api_key="your-free-key")
server = klavis.mcp_server.create_server_instance("YOUTUBE", "user123")

🐳 Using Docker (For Self-Hosting)

# Pull latest image
docker pull ghcr.io/klavis-ai/youtube-mcp-server:latest


# Run YouTube MCP Server
docker run -p 5000:5000 -e API_KEY=$API_KEY \
  ghcr.io/klavis-ai/youtube-mcp-server:latest

API Key Setup: Get your YouTube Data API key from the Google Cloud Console and enable the YouTube Data API v3.