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News Instagram MCP Server

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📰📱 News Instagram MCP Server

An intelligent, fully-automated news-to-Instagram posting system that scrapes Canadian news sources, processes content with AI, and publishes engaging Instagram posts using the Model Context Protocol (MCP).

🚀 What This System Does

Transform Canadian news into engaging Instagram content automatically:

  1. 🔍 Scrapes latest news from CBC, Global News, CTV
  2. 🧠 Analyzes content with AI (categorization, sentiment, keywords)
  3. 🎨 Creates Instagram-ready visuals with templates
  4. ✍️ Generates compelling captions and hashtags
  5. ⏰ Schedules posts at optimal times
  6. 📤 Publishes directly to Instagram
  7. 📊 Tracks engagement and performance

✨ Key Features

🔥 Intelligent News Processing

  • Multi-Source Scraping: CBC, Global News, CTV + Universal scraper for any site
  • AI Content Analysis: Automatic categorization, sentiment analysis, importance scoring
  • Smart Filtering: Duplicate detection, quality assessment, content validation
  • Real-time RSS Monitoring: Continuous news feed monitoring with timeout handling

📱 Instagram Automation

  • Visual Content Creation: Branded templates with automatic text overlay
  • AI Caption Generation: Context-aware captions with relevant hashtags
  • Smart Scheduling: Optimal posting times based on engagement analytics
  • Rate Limiting: Respects Instagram API limits with intelligent delays
  • Engagement Tracking: Monitors likes, comments, shares, reach

🤖 MCP Integration

  • Full MCP Server: Complete Model Context Protocol implementation
  • 6 Powerful Tools: Scrape, analyze, generate, schedule, publish, analytics
  • Real-time Resources: Live access to articles, posts, analytics, configuration
  • Claude Desktop Ready: Seamless integration with AI assistants

🔒 Enterprise-Grade Safety

  • Content Moderation: AI-powered content filtering and validation
  • Error Recovery: Robust error handling with automatic retries
  • Database Integrity: SQLite with migration support and backup
  • Comprehensive Logging: Multi-level logging with rotation

🏗️ Architecture

news-instagram-mcp/ ├── 🎯 main.py # Entry point (Standalone + MCP server modes) ├── 📁 src/ │ ├── 🕷️ scrapers/ # News source scrapers │ │ ├── 📄 base_scraper.py # Abstract base with RSS + timeout handling │ │ ├── 🇨🇦 cbc_scraper.py # CBC News specialized scraper │ │ ├── 🌍 globalnews_scraper.py # Global News scraper │ │ └── 🔄 universal_scraper.py # Universal fallback for any site │ ├── 🧠 processors/ # AI-powered content processing │ │ ├── 📊 content_analyzer.py # AI analysis, categorization, sentiment │ │ ├── 🖼️ image_processor.py # Download, resize, optimize images │ │ └── ✍️ caption_generator.py # AI caption + hashtag generation │ ├── 🎨 editors/ # Visual content creation │ │ ├── 🖌️ template_engine.py # Template-based image generation │ │ └── 🎭 visual_editor.py # Advanced image editing capabilities │ ├── 📤 publishers/ # Instagram publishing system │ │ ├── 📱 instagram_publisher.py # Instagram API integration │ │ └── ⏰ scheduler.py # Smart scheduling engine │ ├── 💾 database/ # Data management │ │ ├── 📋 models.py # SQLAlchemy models (Articles, Posts, Jobs) │ │ └── 🔧 db_manager.py # Database operations + analytics │ ├── 🌐 mcp_server.py # MCP server implementation (6 tools + 4 resources) │ └── ⚙️ config.py # Configuration management ├── 📁 config/ # Configuration files │ ├── 📰 news_sources.yaml # News source configurations │ ├── 📱 instagram_config.yaml # Instagram settings + safety limits │ └── 🎨 template_config.yaml # Visual template configurations ├── 📁 templates/ # Instagram post templates (PNG files) │ ├── 🚨 breaking_news.png # Breaking news template │ ├── 📊 analysis_post.png # Analysis template │ └── 📖 feature_story.png # Feature story template ├── 📁 tests/ # Comprehensive test suite ├── 📁 logs/ # Application logs └── 📄 .env # Environment variables (credentials)

🚀 Quick Start - Get Running in 5 Minutes

1. 📦 Installation

# Clone the repository git clone https://github.com/your-username/news-instagram-mcp.git cd news-instagram-mcp # Create virtual environment python -m venv .venv .venv\Scripts\activate # Windows # source .venv/bin/activate # Linux/Mac # Install dependencies pip install -r requirements.txt

2. ⚙️ Configuration

# Copy environment template cp .env.example .env # Edit .env with your credentials notepad .env # Windows # nano .env # Linux/Mac

Required credentials:

# Instagram (REQUIRED) INSTAGRAM_USERNAME=your_instagram_username INSTAGRAM_PASSWORD=your_instagram_password # AI API (OPTIONAL - Gemini included) GEMINI_API_KEY=your_gemini_api_key # System Settings (pre-configured) DATABASE_URL=sqlite:///news_instagram.db LOG_LEVEL=INFO MAX_POSTS_PER_DAY=5

3. 🧪 Test the System

# Test all components python main.py # Expected output: # ✅ Instagram connection successful # ✅ Database tables created # ✅ News scrapers initialized (CBC, GlobalNews, CTV) # ✅ MCP handlers registered # ✅ System test completed!

4. 🚀 Launch MCP Server

# Start MCP server for Claude Desktop python main.py --stdio

🎯 Usage Examples

Once configured in Claude Desktop, you can:

"Scrape the latest Canadian news and create 3 Instagram posts" "Analyze recent articles and publish the most important breaking news" "Generate a weekly analytics report for our Instagram performance" "Schedule posts for optimal engagement times this week"

🔧 Via MCP Tools (Direct)

# Available MCP Tools: 1. scrape_news - Get latest articles from news sources 2. analyze_content - AI analysis of scraped content 3. generate_post - Create Instagram post from article 4. schedule_post - Schedule post for optimal time 5. publish_post - Publish post immediately 6. get_analytics - Performance metrics and insights

💻 Programmatic Usage

from src.scrapers import CBCScraper from src.processors import ContentAnalyzer, CaptionGenerator from src.publishers import InstagramPublisher # Initialize components scraper = CBCScraper('cbc', config.get_news_sources()['cbc']) analyzer = ContentAnalyzer() publisher = InstagramPublisher() # Scrape and process stats = scraper.run_scraping_session() analyzer.process_articles(limit=10) # Generate and publish # (Full examples in documentation)

🛠️ Advanced Configuration

📰 Adding News Sources

Add any news website to config/news_sources.yaml:

your_news_site: name: "Your News Site" base_url: "https://yournews.com" rss_feeds: - "https://yournews.com/rss" selectors: headline: "h1.title" # CSS selector for headlines content: ".article-body" # CSS selector for content image: ".featured-image img" # CSS selector for images priority: 1 # 1 = highest priority enabled: true # Enable/disable source

🎨 Custom Templates

Create custom Instagram templates:

  1. Design 1080x1350px image in Photoshop/GIMP
  2. Save as PNG in templates/ folder
  3. Configure in config/template_config.yaml
  4. System automatically applies text overlays

⏰ Posting Schedule

Customize posting times in config/instagram_config.yaml:

instagram: posting: max_posts_per_day: 8 min_interval_hours: 2 preferred_times: - "08:00" # Morning news - "12:00" # Lunch break - "17:00" # Evening commute - "20:00" # Prime time

🔒 Safety & Rate Limiting

safety: rate_limit_delay: 30 # Seconds between API calls max_actions_per_hour: 60 # Maximum Instagram actions content_filters: # Block inappropriate content - "inappropriate_keyword" manual_approval: false # Require manual approval

📊 Monitoring & Analytics

📈 Performance Metrics

Track comprehensive metrics:

  • Articles scraped per day/week/month
  • Posts published with success rates
  • Engagement metrics (likes, comments, shares)
  • Error rates by component
  • Processing times and performance

📋 Available Analytics

# Daily statistics stats = db_manager.get_daily_stats() { 'articles_scraped': 45, 'posts_published': 8, 'avg_engagement': 156.2, 'error_rate': 0.02 } # Weekly trends trends = analytics.get_weekly_trends() # Engagement optimization suggestions suggestions = analytics.get_optimization_suggestions()

📊 Real-time Dashboard

Access via MCP resources:

  • news://articles/recent - Latest scraped articles
  • news://posts/scheduled - Upcoming scheduled posts
  • news://analytics/daily - Performance dashboard
  • news://config/sources - Current source configuration

🔌 MCP Integration Setup

For Claude Desktop:

  1. Install Claude Desktop (if not already installed)
  2. Add MCP configuration to %APPDATA%\Claude\claude_desktop_config.json:
{ "mcpServers": { "news-instagram-mcp": { "command": "G:/cursor/news-instagram-mcp/.venv/Scripts/python.exe", "args": ["G:/cursor/news-instagram-mcp/main.py", "--stdio"], "env": { "PYTHONPATH": "G:/cursor/news-instagram-mcp" } } } }
  1. Restart Claude Desktop
  2. Test integration: Ask Claude to "scrape news and create an Instagram post"

For Other MCP Clients:

The server implements the full MCP specification and works with any MCP-compatible client.

🚨 Troubleshooting

Common Issues & Solutions

IssueSolution
Instagram login fails✅ Check credentials, enable 2FA, use app password
RSS feeds timeout✅ Normal behavior - system handles gracefully
"Module not found"✅ Run pip install -r requirements.txt
Database errors✅ Delete news_instagram.db to reset database
Unicode errors✅ Fixed in v2.0 - restart if persists
Memory issues✅ Reduce batch sizes in configuration

Debug Mode

Enable detailed logging:

# Debug mode python main.py --debug # Check logs tail -f logs/app.log # Main application tail -f logs/errors.log # Error tracking tail -f logs/instagram.log # Publishing logs

System Health Check

# Test all components python main.py # Expected output: # ✅ Database tables created successfully # ✅ Instagram session loaded # ✅ MCP handlers registered # ✅ News scrapers available: ['cbc', 'globalnews', 'ctv'] # ✅ System test completed!

💡 Pro Tips

🚀 Optimization

  • Peak Performance: Run during off-peak hours for faster scraping
  • Engagement: Schedule posts at 8AM, 12PM, 5PM, 8PM for best engagement
  • Content Quality: Enable manual approval for critical accounts
  • Rate Limits: Increase delays if hitting Instagram rate limits

🔧 Customization

  • Custom Scrapers: Create specialized scrapers for specific news sites
  • AI Models: Switch between OpenAI, Anthropic, or Gemini for different styles
  • Templates: Create branded templates matching your Instagram aesthetic
  • Hashtags: Customize hashtag strategies in caption generator

📊 Analytics

  • A/B Testing: Test different posting times and templates
  • Content Performance: Track which news categories perform best
  • Engagement Optimization: Adjust posting schedule based on analytics
  • Quality Metrics: Monitor content quality scores and engagement rates

🤝 Contributing

We welcome contributions! Here's how to get started:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure code quality (pylint, black)
  6. Submit a pull request

Development Setup

# Install development dependencies pip install -r requirements-dev.txt # Run tests python -m pytest tests/ # Code formatting black src/ pylint src/ # Type checking mypy src/

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

  • 📖 Documentation: Full API docs and guides available
  • 🐛 Issues: GitHub Issues for bug reports
  • 💬 Discussions: GitHub Discussions for questions
  • 📧 Email: Enterprise support available

🚀 Roadmap

🔮 Upcoming Features

  • Multi-Platform: Twitter, Facebook, LinkedIn support
  • Advanced AI: GPT-4 integration for enhanced content
  • Real-time Dashboard: Live web interface for monitoring
  • A/B Testing: Automated post optimization
  • Team Collaboration: Multi-user support with roles
  • Content Calendar: Editorial calendar integration

⚡ Performance Improvements

  • Redis Caching: Enhanced performance with Redis
  • Async Processing: Concurrent scraping and processing
  • PostgreSQL: Enterprise database support
  • CDN Integration: Optimized image delivery
  • Kubernetes: Container orchestration support

🎉 Ready to Transform Your News Coverage?

Get started now and automate your news-to-Instagram workflow!

git clone https://github.com/your-username/news-instagram-mcp.git cd news-instagram-mcp python main.py --stdio

Follow us for updates: @newsmcp | Star on GitHub ⭐

Made with ❤️ for the news and social media community

🚀 Quick Start - Your First Post

What You Need:

  1. Instagram Business/Creator Account (required)
  2. Instagram Username & Password
  3. OpenAI API Key (optional but recommended)

Setup Steps:

  1. Create .env file:
cp .env.example .env # Edit .env with your credentials
  1. Add your credentials to .env:
INSTAGRAM_USERNAME=your_username INSTAGRAM_PASSWORD=your_password OPENAI_API_KEY=sk-your-key-here # optional
  1. Run system test:
python test_system.py
  1. If all tests pass, generate your first post:
python main.py # Then use MCP tools: scrape_news -> analyze_content -> generate_post -> publish_post

See FIRST_POST_GUIDE.md for detailed setup instructions.

Configuration

Environment Variables

  • INSTAGRAM_USERNAME: Your Instagram username
  • INSTAGRAM_PASSWORD: Your Instagram password
  • OPENAI_API_KEY: OpenAI API key for content analysis
  • ANTHROPIC_API_KEY: Anthropic API key (alternative to OpenAI)
  • DATABASE_URL: Database connection string

News Sources

Configure news sources in config/news_sources.yaml:

  • Add RSS feeds
  • Set CSS selectors for content extraction
  • Define categories and keywords
  • Configure content filters

Instagram Settings

Configure Instagram posting in config/instagram_config.yaml:

  • Set posting schedule and limits
  • Define hashtag strategies
  • Configure caption templates
  • Set safety and rate limiting options

Usage

MCP Server

Start the MCP server:

python src/mcp_server.py

The server provides the following tools:

  • scrape_news: Scrape news from configured sources
  • analyze_content: Analyze scraped articles
  • generate_post: Create Instagram posts from articles
  • schedule_post: Schedule posts for publishing
  • publish_post: Publish posts immediately
  • get_analytics: Get performance analytics

Manual Operations

from src.scrapers import CBCScraper from src.processors import ContentAnalyzer, CaptionGenerator from src.publishers import InstagramPublisher # Scrape news scraper = CBCScraper('cbc', config.get_news_sources()['cbc']) stats = scraper.run_scraping_session() # Analyze content analyzer = ContentAnalyzer() analyzer.process_articles(limit=10) # Generate and publish posts caption_gen = CaptionGenerator() publisher = InstagramPublisher() # ... (see documentation for full examples)

News Sources

Supported Sources

  • CBC News: Canada's national broadcaster
  • Global News: Major Canadian news network
  • CTV News: Canadian television network
  • Universal Scraper: For additional news sources

Adding New Sources

  1. Add source configuration to config/news_sources.yaml
  2. Create a custom scraper class (optional)
  3. Update the MCP server to include the new source

Content Processing

Analysis Features

  • Categorization: Automatic categorization (breaking, politics, economy, etc.)
  • Sentiment Analysis: Emotional tone detection
  • Keyword Extraction: Important terms and entities
  • Importance Scoring: Priority ranking for content
  • Quality Assessment: Content quality evaluation

Image Processing

  • Download: Automatic image retrieval from articles
  • Optimization: Resize and optimize for Instagram
  • Template Creation: Generate branded news graphics
  • Format Conversion: Ensure Instagram compatibility

Instagram Publishing

Features

  • Smart Scheduling: Optimal posting times based on engagement
  • Rate Limiting: Respect Instagram's API limits
  • Engagement Tracking: Monitor likes, comments, shares
  • Error Handling: Robust error recovery and retry logic
  • Content Validation: Ensure posts meet Instagram requirements

Safety Features

  • Rate Limiting: Prevent API violations
  • Content Filtering: Remove inappropriate content
  • Duplicate Detection: Avoid posting duplicate content
  • Manual Approval: Optional manual review process

Database Schema

Tables

  • news_articles: Scraped news articles
  • instagram_posts: Generated Instagram posts
  • processing_jobs: Background task tracking
  • scraping_sessions: Scraping session logs

API Reference

MCP Resources

  • news://articles/recent: Recent news articles
  • news://posts/scheduled: Scheduled Instagram posts
  • news://analytics/daily: Daily statistics
  • news://config/sources: News source configuration

MCP Tools

Each tool accepts specific parameters and returns structured results. See the MCP server implementation for detailed schemas.

Monitoring and Analytics

Metrics Tracked

  • Articles scraped per day
  • Posts published per day
  • Engagement rates
  • Error rates
  • Processing times

Logs

Comprehensive logging is available at multiple levels:

  • INFO: General operations
  • WARNING: Non-critical issues
  • ERROR: Critical failures
  • DEBUG: Detailed debugging information

Development

Testing

Run the test suite:

python -m pytest tests/

Adding Features

  1. Follow the existing architecture patterns
  2. Add appropriate tests
  3. Update configuration files
  4. Document new features

Troubleshooting

Common Issues

  1. Instagram Login Issues: Check credentials and 2FA settings
  2. Scraping Failures: Verify news source URLs and selectors
  3. Image Processing Errors: Ensure PIL/Pillow is properly installed
  4. Database Errors: Check database connection and permissions

Debug Mode

Enable debug logging in .env:

LOG_LEVEL=DEBUG

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

License

[License information]

Support

For support and questions:

  • Create an issue on GitHub
  • Check the documentation
  • Review the troubleshooting guide

Changelog

See CHANGELOG.md for version history and updates.

This server cannot be installed

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security - not tested
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quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

An intelligent system that automatically scrapes Canadian news sources, processes content with AI, and publishes engaging Instagram posts.

  1. 🚀 What This System Does
    1. ✨ Key Features
      1. 🔥 Intelligent News Processing
      2. 📱 Instagram Automation
      3. 🤖 MCP Integration
      4. 🔒 Enterprise-Grade Safety
    2. 🏗️ Architecture
      1. 🚀 Quick Start - Get Running in 5 Minutes
        1. 1. 📦 Installation
        2. 2. ⚙️ Configuration
        3. 3. 🧪 Test the System
        4. 4. 🚀 Launch MCP Server
      2. 🎯 Usage Examples
        1. 🤖 Via Claude Desktop (Recommended)
        2. 🔧 Via MCP Tools (Direct)
        3. 💻 Programmatic Usage
      3. 🛠️ Advanced Configuration
        1. 📰 Adding News Sources
        2. 🎨 Custom Templates
        3. ⏰ Posting Schedule
        4. 🔒 Safety & Rate Limiting
      4. 📊 Monitoring & Analytics
        1. 📈 Performance Metrics
        2. 📋 Available Analytics
        3. 📊 Real-time Dashboard
      5. 🔌 MCP Integration Setup
        1. For Claude Desktop:
        2. For Other MCP Clients:
      6. 🚨 Troubleshooting
        1. Common Issues & Solutions
        2. Debug Mode
        3. System Health Check
      7. 💡 Pro Tips
        1. 🚀 Optimization
        2. 🔧 Customization
        3. 📊 Analytics
      8. 🤝 Contributing
        1. Development Setup
      9. 📄 License
        1. 🆘 Support
          1. 🚀 Roadmap
            1. 🔮 Upcoming Features
            2. ⚡ Performance Improvements
          2. 🎉 Ready to Transform Your News Coverage?
            1. 🚀 Quick Start - Your First Post
              1. What You Need:
              2. Setup Steps:
            2. Configuration
              1. Environment Variables
              2. News Sources
              3. Instagram Settings
            3. Usage
              1. MCP Server
              2. Manual Operations
            4. News Sources
              1. Supported Sources
              2. Adding New Sources
            5. Content Processing
              1. Analysis Features
              2. Image Processing
            6. Instagram Publishing
              1. Features
              2. Safety Features
            7. Database Schema
              1. Tables
            8. API Reference
              1. MCP Resources
              2. MCP Tools
            9. Monitoring and Analytics
              1. Metrics Tracked
              2. Logs
            10. Development
              1. Testing
              2. Adding Features
            11. Troubleshooting
              1. Common Issues
              2. Debug Mode
            12. Contributing
              1. License
                1. Support
                  1. Changelog

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