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qualityA Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.
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Integrates with OpenAI's GPT-4 API to provide AI-powered content curation capabilities including smart categorization, intelligent tagging, and content optimization for educational materials
š MCP Content Curation Server
A Model Context Protocol (MCP) server for intelligent course content curation powered by GPT-4. This server provides AI-driven tools to categorize, tag, and improve educational content.
āØ Features
šļø Smart Categorization: AI-powered category suggestions for course content
š·ļø Intelligent Tagging: Context-aware tag recommendations using GPT-4
āØ Content Optimization: Improve titles and descriptions following best practices
š MCP Integration: Seamless integration with Claude Desktop and other MCP clients
š Quick Start
Prerequisites
Node.js 18+
OpenAI API key
Installation
Clone the repository
git clone https://github.com/yourusername/mcp-content-curation-server.git cd mcp-content-curation-serverInstall dependencies
npm installConfigure environment
cp .env.example .env # Edit .env and add your OpenAI API keyRun the server
# Development mode npm run dev # Production mode npm run build npm start
š§ OpenAI Setup
Get your API key from OpenAI Platform
Add it to your
.envfile:OPENAI_API_KEY=sk-your-actual-api-key-here
š„ļø Claude Desktop Integration
Update your claude_desktop_config.json:
Development Mode:
{
"mcpServers": {
"content-curation": {
"command": "npx",
"args": ["tsx", "/path/to/your/project/src/server.ts"],
"cwd": "/path/to/your/project",
"env": {
"NODE_ENV": "development"
}
}
}
}
Production Mode:
{
"mcpServers": {
"content-curation": {
"command": "node",
"args": ["/path/to/your/project/dist/server.js"],
"cwd": "/path/to/your/project",
"env": {
"NODE_ENV": "production"
}
}
}
}
š ļø Available Tools
1. suggest_category
Suggests the most appropriate category for course content.
Input:
{
"title": "Python for Data Science",
"description": "Learn data analysis with pandas and matplotlib"
}
2. suggest_tags
Recommends relevant tags based on course content.
Input:
{
"title": "Digital Marketing Fundamentals",
"description": "Master SEO, Google Ads, and social media marketing"
}
3. improve_content
Optimizes titles and descriptions following educational best practices.
Input:
{
"title": "JavaScript Basics",
"description": "Learn programming fundamentals"
}
š Data Structure
The server includes:
5 main categories: Technology, Business, Design, Marketing, Analytics
18 contextual tags: Organized by subject area
10 sample courses: For similarity analysis and training
š” Usage Examples
Categorization
Suggest a category for: "Advanced React Hooks" - "Custom hooks and performance optimization in React"
Tagging
What tags would you recommend for: "Machine Learning with Python"?
Content Improvement
Improve this content:
Title: "Excel Basics"
Description: "Learn spreadsheets"
š ļø Development
Available Scripts
npm run dev- Start development servernpm run build- Compile TypeScriptnpm start- Run production servernpm run debug- Run diagnostics
Project Structure
src/
āāā server.ts # Main MCP server
āāā services/
ā āāā ai.service.ts # OpenAI GPT-4 integration
ā āāā curation.service.ts # Curation logic
āāā data/
ā āāā mock-data.ts # Categories, tags, and sample data
āāā types.ts # TypeScript definitions
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that provides AI-driven tools to categorize, tag, and optimize educational content using GPT-4.
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