📰📱 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

Related MCP server: Bocha Search MCP

✨ 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

🤖 Via Claude Desktop (Recommended)

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"
      }
    }
  }
}

3. Restart Claude Desktop

4. 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

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

2. Add your credentials to .env:

INSTAGRAM_USERNAME=your_username
INSTAGRAM_PASSWORD=your_password
OPENAI_API_KEY=sk-your-key-here  # optional

3. Run system test:

python test_system.py

4. 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.