YouTube MCP Server
Provides AI assistants with comprehensive YouTube analytics and channel management capabilities, including channel performance, video analytics, audience insights, and content strategy tools.
README
š¬ YouTube MCP Server: Remote MCP on Cloudflare Workers
A powerful Model Context Protocol (MCP) server that provides AI assistants with comprehensive YouTube analytics and channel management capabilities. Built with TypeScript, deployed on Cloudflare Workers, and secured with Google OAuth.
⨠Features
š YouTube Analytics
- Channel Performance: Revenue, views, subscriber growth, engagement metrics
- Video Analytics: Deep performance analysis with retention rates and traffic sources
- Audience Insights: Demographics, geography, device usage, and viewing patterns
- Top Content: Identify best-performing videos by views, revenue, or engagement
šÆ Content Strategy Tools
- Trending Analysis: AI-powered content suggestions based on current trends
- Competitor Intelligence: Analyze competitor channels and identify content gaps
- Performance Optimization: Recommendations based on your channel's data
š YouTube Data Access
- Video Search: Find videos across YouTube with advanced filtering
- Channel Information: Get detailed channel stats and recent uploads
- Video Details: Comprehensive metadata, stats, and engagement data
š ļø Quick Start
Prerequisites
- YouTube channel with uploaded content
- Google Cloud Console project with YouTube APIs enabled
- Cloudflare Workers account
1. Clone and Install
git clone https://github.com/lauragift21/youtube-mcp-server.git
cd youtube-mcp-server
npm install
2. Configure OAuth
-
Create Google OAuth Credentials:
- Go to Google Cloud Console
- Enable YouTube Data API v3 and YouTube Analytics API
- Create OAuth 2.0 credentials (Web Application)
- Add redirect URI:
https://your-worker.workers.dev/callback
-
Set Environment Variables:
npx wrangler secret put GOOGLE_OAUTH_CLIENT_ID npx wrangler secret put GOOGLE_OAUTH_CLIENT_SECRET npx wrangler secret put COOKIE_ENCRYPTION_KEY
You can generate a random string for COOKIE_ENCRYPTION_KEY
3. Deploy
npx wrangler deploy
Connect to Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"youtube-mcp-server": {
"command": "npx",
"args": [
"mcp-remote",
"https://your-deployment.workers.dev/sse"
]
}
}
}
Connect to Cloudflare AI Playground
You can connect your MCP server from the Cloudflare AI Playground, which is a remote MCP client:
- Go to https://playground.ai.cloudflare.com/
- Enter your deployed MCP server URL (remote-mcp-server-authless.<your-account>.workers.dev/sse)
- You can now use your MCP tools directly from the playground!
š§ Available Tools
Analytics Tools
youtube_getChannelAnalytics- Get channel performance metricsyoutube_analyzeVideoPerformance- Deep dive into video performanceyoutube_getTopVideos- Find your best-performing contentyoutube_getAudienceDemographics- Understand your viewers
Content Strategy Tools
youtube_suggestContentIdeas- AI-powered topic suggestionsyoutube_analyzeCompetitors- Competitive analysis and benchmarking
Data Tools
youtube_searchVideos- Search YouTube with advanced filtersyoutube_getVideoDetails- Get comprehensive video informationyoutube_getChannelInfo- Channel overview and statisticsyoutube_getChannelVideos- Recent uploads from any channel
š” Example Queries
Try these questions with Claude Desktop:
š Channel Analytics
"Show me my YouTube channel performance for the past 30 days"
šÆ Content Strategy
"What should I make a video about next in the AI/tech space?"
"Analyze my competitors and show me content opportunities I'm missing"
š„ Audience Insights
"Who are my viewers? Show me demographics and geography data"
šļø Architecture
āāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāā
ā Claude Desktop āāāāāā MCP Server āāāāāā YouTube APIs ā
ā (MCP Client) ā ā (Cloudflare) ā ā (Google) ā
āāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāā
ā
āāāāāāāāāāāāāāāāāāāā
ā OAuth Provider ā
ā (Google Auth) ā
āāāāāāāāāāāāāāāāāāāā
Key Components
- MCP Server: Handles tool requests and API communication
- OAuth Provider: Manages Google authentication and token refresh
- YouTube Data API: Public video and channel information
- YouTube Analytics API: Private channel analytics and revenue data
š Links
- Model Context Protocol - Learn about MCP
- YouTube Data API - YouTube API documentation
- Cloudflare Workers - Serverless deployment platform
- Claude Desktop - AI assistant with MCP support
Built with ā¤ļø by Gift Egwuenu | Powered by MCP & Cloudflare Workers
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.