Model Context Protocol (MCP) Server for yt-dlp
Model Context Protocol (MCP) Server for yt-dlp
An MCP server implementation that integrates with yt-dlp, providing video and audio content download capabilities from YouTube and other platforms for LLMs.
Install yt-dlp based on your operating system: ```bash
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Inputs | url (string, required): URL of the video |
| quality_preference | string, optional): Video quality preference |
| video_container_preference | string, optional): Preferred video format |
| audio_container_preference | string, optional): Preferred audio format (mp3, m4a, ogg, opus) |
| output_path | string, optional): Custom output path with filename template |
| extract_audio_only | boolean, optional): Extract audio only. Defaults to false |
{
"mcpServers": {
"yt-dlp-mcp": {
"command": "npx",
"args": [
"-y",
"@gtvar/yt-dlp-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Install yt-dlp based on your operating system: ```bash
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.