About YouTube Insights MCP Server
YouTube Insights MCP Server provides transcript extraction, keyword search, and channel lookups for YouTube videos. It is suited to video discovery and channel performance analysis, and can retrieve recent uploads from a video URL.
Key features
- 01Extract multilingual video transcripts
- 02Search by keyword and retrieve video metadata
- 03Look up channel details and latest videos from a video URL
Use cases
- 01Find trending videos and review transcripts
- 02Analyze a channel's recent performance
- 03Find videos and inspect views and likes
MCP support
The MCP server exposes transcript extraction, video search, and channel lookup tools for use in agent workflows.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEYouTube Insights MCP Server
A Model Context Protocol (MCP) server that enables insight extraction from YouTube videos, including subtitle parsing, keyword-based video discovery, and channel info retrieval.
Features
- Extract transcripts from YouTube videos (multi-language)
- Search videos by keyword and fetch metadata (views, likes, thumbnails, etc.)
- Retrieve channel info and latest videos from any YouTube video URL
- FastMCP-based server integration for easy deployment
- MCP Tools for seamless agent workflows
Example usecases
Finding Trending Videos and Summarizing
Analyzing a Channel's Recent Performance
Installation
Installing via Smithery
To install youtubeinsights-mcp-server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @dabidstudio/youtubeinsights-mcp-server --client claude
Using uvx (recommended)
When using uvx, no specific installation is needed.
Add the following configuration to your MCP settings file (e.g., claude_desktop_config.json for Claude Desktop):
{
"mcpServers": {
"youtubeinsights": {
"command": "uvx",
"args": ["youtubeinsights-mcp-server"],
"env": {
"YOUTUBE_API_KEY": "your-api-key",
}
}
}
}
Development Installation
-
Clone this repository
-
Copy
.env.exampleto.envand fill in your youtube data api credentials{ "mcpServers": { "youtubeinsights": { "command": "uv", "args": [ "--directory", "path/to/youtubeinsights-mcp-server", "run", "youtubeinsights-mcp-server" ], "env": { "YOUTUBE_API_KEY": "your-api-key", } } } }
Available MCP Tools
get_youtube_transcript: Extract full transcript (subtitles) from a YouTube video URL (supportsko,en)search_youtube_videos: Search for videos on YouTube by keyword and retrieve key metadataget_channel_info: Get channel metadata and recent uploads based on any YouTube video URL
Sample MCP Tool Descriptions
{
"tool": "get_youtube_transcript",
"description": "Extract subtitles from a given YouTube video URL."
}
{
"tool": "search_youtube_videos",
"description": "Search videos by keyword and return metadata including views, likes, and thumbnails."
}
{
"tool": "get_channel_info",
"description": "Retrieve channel info (title, subscriber count, latest uploads) based on a video URL."
}
License
This project is licensed under the MIT License. See the LICENSE file for details.
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.