About YouTube MCP by UnClick
YouTube MCP by UnClick lets MCP clients search YouTube and retrieve video, channel, playlist, and caption details. It is for workflows that need structured access to YouTube content.
Key features
- 01Search YouTube
- 02Get video details
- 03Get channel details
- 04List playlists and items
- 05Get captions
Use cases
- 01Find videos by search query
- 02Review video and channel information
- 03Inspect playlist contents
- 04Retrieve video captions
MCP support
This MCP server exposes tools for YouTube search and for retrieving video, channel, playlist, and caption information.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
6Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| type | enum | No | video, channel, or playlist (default: video)video | channel | playlist |
| order | string | No | relevance, date, rating, viewCount, title |
| query | string | Yes | |
| api_key | string | Yes | |
| channel_id | string | No | |
| page_token | string | No | |
| max_results | number | No | |
| region_code | string | No | |
| published_after | string | No | RFC 3339 datetime, e.g. 2024-01-01T00:00:00Z |
Details
From the project READMEYouTube MCP by UnClick
Search YouTube and get video, channel, playlist, and caption details.
By UnClick. 180+ tools plus persistent agent memory in one install: https://unclick.world
Install
Installs straight from GitHub, no npm account needed.
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": ["-y", "https://github.com/malamutemayhem/unclick/releases/download/standalone-mcps-latest/youtube.tgz"]
}
}
}
Tools
youtube_searchyoutube_get_videoyoutube_get_channelyoutube_list_playlistsyoutube_list_playlist_itemsyoutube_get_captions
Want the rest?
This is one connector. UnClick bundles 180+ tools plus persistent cross-session agent memory in a single install.
License
Apache-2.0
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.