Klavis AI (YC X25): Open Source MCP integration for AI applications
- • 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
{
"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"
}
},
"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"
}
}
}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:
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=$API_KEY \
ghcr.io/klavis-ai/youtube-mcp-server:latest
API Key Setup: Get your YouTube Data API key from the Google Cloud Console and enable the YouTube Data API v3.
🛠️ Available Tools
- Video Transcripts: Retrieve full video transcripts with timestamps
- Video Details: Get video metadata including title, description, statistics
- Video Search: Search for videos by keywords and filters
- Channel Information: Get channel details and video listings
- Playlist Management: Access playlist contents and metadata
📚 Documentation & Support
| Resource | Link |
|---|---|
| 📖 Documentation | docs.klavis.ai |
| 💬 Discord | Join Community |
| 🐛 Issues | GitHub Issues |
🤝 Contributing
We welcome contributions! Please see our Contributing Guide for details.
📜 License
MIT License - see LICENSE for details.
🚀 Supercharge AI Applications
[](https://archestra.ai/mcp-catalog/klavis-ai__klavis__mcp_servers__youtube)YouTube MCP Server
A Model Context Protocol (MCP) server for YouTube integration. Retrieve video transcripts, details, and metadata using YouTube's Data API.
🚀 Quick Start - Run in 30 Seconds
🌐 Using Hosted Service (Recommended for Production)
Get instant access to YouTube with our managed infrastructure - no setup required:
pip install klavis
# or
npm install klavis
from klavis import Klavis
klavis = Klavis(api_key="your-free-key")
server = klavis.mcp_server.create_server_instance("YOUTUBE", "user123")
🐳 Using Docker (For Self-Hosting)
# Pull latest image
docker pull ghcr.io/klavis-ai/youtube-mcp-server:latest
# Run YouTube MCP Server
docker run -p 5000:5000 -e API_KEY=$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