Last updated
April 26, 2026
MCP profile
Smithery Kirbah Mcp Youtube
Provide token-optimized, structured YouTube data to enhance your LLM applications. Access efficien…
Content & MediaRemoteOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
The tool operates through a multi-phase analysis process, leveraging both YouTube Data API and a MongoDB database:
1. Candidate Search (Phase 1):
2. Channel Filtering (Phase 2):
3. Deep Analysis (Phase 3):
4. Ranking & Formatting (Phase 4):
Capabilities
Uses the provided query to search for relevant videos and channels on YouTube.Filters initial results based on videoCategoryId and regionCode if specified.Collects a broad set of potential channels for deeper analysis.Retrieves detailed statistics for candidate channels (subscribers, total views, video count).Filters channels based on channelAge (e.g., 'NEW' for channels under 6 months, 'ESTABLISHED' for 6-24 months).Ensures channels meet a minimum video count to be considered for consistency.For each filtered channel, fetches their recent top-performing videos.Calculates a "viral factor" for each video (e.g., views relative to subscriber count).Assesses the consistencyLevel (e.g., 'MODERATE' for ~30% of videos showing outlier performance, 'HIGH' for ~50%).Determines outlierMagnitude (e.g., 'STANDARD' for views > subscribers, 'STRONG' for views > 3x subscribers).Ranks channels based on their consistency, outlier magnitude, and overall performance within the niche.Formats the results into a token-optimized structure suitable for LLMs, including key channel metrics and examples of outlier videos.
Tools & Endpoints2
Example Workflow
The easiest way to install this server is by clicking the "Add to Claude Desktop" (or other supported clients) button on Glama server page.
What Problems It Solves
- If you wish to contribute
- modify the server
- or run it locally outside of an MCP client's managed environment:
Why Use Smithery Kirbah Mcp Youtube?
- Optimized Video Information: Search videos with advanced filters. Retrieve detailed metadata, statistics (views, likes, etc.), and content details, all structured for minimal token footprint.
- Efficient Transcript Management: Fetch video captions/subtitles with multi-language support, perfect for content analysis by LLMs.
- Insightful Channel Analysis: Get concise channel statistics (subscribers, views, video count) and discover a channel's top-performing videos without data bloat.
- Lean Trend Discovery: Find trending videos by region and category, and get lists of available video categories, optimized for quick AI processing.
- Structured for AI: All responses are designed to be easily parsable and immediately useful for language models.
- Efficient Comment Retrieval: Fetch video comments with fine-grained control over the number of results and replies, optimized for sentiment analysis and feedback extraction.
Specifications
Status
live
Industry
Content & Media
Category
General
Server type
Remote
License
Open Source
Verified
Yes
Requirements
- Node.js: >=20.0.0 (as specified in package.json)
- npm (for managing dependencies and running scripts)
Hosting
Hosting Options
- Remote
API
Integrate this server into your application. Choose a connection method below.
1
Configure
Configuration
json
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": ["-y", "@kirbah/mcp-youtube"],
"env": {
"YOUTUBE_API_KEY": "YOUR_YOUTUBE_API_KEY_HERE",
"MDB_MCP_CONNECTION_STRING": "mongodb+srv://user:pass@cluster0.abc.mongodb.net/youtube_niche_analysis"
}
}
}
}Performance
Usage
Quick Reference
- Name
- Smithery Kirbah Mcp Youtube
- Function
- Provide token-optimized, structured YouTube data to enhance your LLM applications. Access efficien…
- Available Tools
- The server provides the following MCP tools, each designed to return token-optimized data:, _For detailed input parameters and their descriptions, please refer to the inputSchema within each tool's configuration file in the src/tools/ directory (e.g., src/tools/video/getVideoDetails.ts)._
- Transport
- Remote
- Source
- External (Registry)
- License
- Open Source
Get started
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