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Building a Remote MCP Server on Cloudflare (Without Auth)

Building a Remote MCP Server on Cloudflare (Without Auth)

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github.com/lauragift21Developer Tools1Updated 73w ago

About Building a Remote MCP Server on Cloudflare (Without Auth)

A YouTube MCP server deployed on Cloudflare Workers for creators and channel operators to query analytics, videos, and channel information. It also provides audience insights, competitor analysis, and content suggestions, using Google OAuth for authorization.

Key features

  1. 01Query channel performance and revenue metrics
  2. 02Analyze video retention and traffic sources
  3. 03Review audience demographics and geography
  4. 04Search videos and retrieve channel information
  5. 05Analyze competitors and suggest content

Use cases

  1. 01Review recent channel performance and subscriber growth
  2. 02Identify top-performing content
  3. 03Understand audience composition and viewing patterns
  4. 04Compare competitor channels and find content opportunities

MCP support

The server provides MCP clients with YouTube analytics, content strategy, and data-query tools. It runs on Cloudflare Workers and uses Google OAuth to access relevant APIs.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

🎬 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

📊 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
🎯 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
🔍 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

🛠️ 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
  1. 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
  2. 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..workers.dev/sse)
  • You can now use your MCP tools directly from the playground!

🔧 Available Tools

Analytics Tools
  • youtube_getChannelAnalytics - Get channel performance metrics
  • youtube_analyzeVideoPerformance - Deep dive into video performance
  • youtube_getTopVideos - Find your best-performing content
  • youtube_getAudienceDemographics - Understand your viewers
Content Strategy Tools
  • youtube_suggestContentIdeas - AI-powered topic suggestions
  • youtube_analyzeCompetitors - Competitive analysis and benchmarking
Data Tools
  • youtube_searchVideos - Search YouTube with advanced filters
  • youtube_getVideoDetails - Get comprehensive video information
  • youtube_getChannelInfo - Channel overview and statistics
  • youtube_getChannelVideos - Recent uploads from any channel

💡 Example Queries

Try these questions with Claude Desktop:

📈 Channel Analytics

"Show me my YouTube channel performance for the past 30 days"

🎯 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"

👥 Audience Insights

"Who are my viewers? Show me demographics and geography data"

🏗️ Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Claude Desktop │────│  MCP Server      │────│ YouTube APIs    │
│   (MCP Client)   │    │  (Cloudflare)    │    │ (Google)        │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                │
                       ┌──────────────────┐
                       │  OAuth Provider  │
                       │  (Google Auth)   │
                       └──────────────────┘
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

🔗 Links


Built with ❤️ by Gift Egwuenu | Powered by MCP & Cloudflare Workers

Comments

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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.