Joopsnijder/ai-media-monitor-mcp

AI Media Monitor MCP Server

An AI Media Monitor MCP (Model Context Protocol) server that scans Dutch media sources for AI-related articles and provides analysis for podcast planning. Specifically designed to support the AIToday Live podcast by identifying trending topics, potential guests, and content suggestions.

Features

• 🔍 Multi-source Media Monitoring: Scans Dutch newspapers, trade publications, tech media, and news sites
• 🤖 AI Content Detection: Configurable keyword-based detection for AI-related articles
• 📊 Trend Analysis: Identifies trending AI topics with sentiment and growth metrics
• 👤 Expert Identification: Finds frequently quoted experts as potential podcast guests
• 💡 Topic Suggestions: Generates actionable podcast topic ideas with relevance scoring
• 🔓 Paywall Bypass: Attempts content access through multiple archive services
• ⚙️ Configurable: Fully customizable media sources, keywords, and topic patterns

Quick Start

Prerequisites

• Python 3.10 or higher
• uv package manager (recommended)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ai-media-monitor-mcp.git
   cd ai-media-monitor-mcp
   

2. Install dependencies:

   uv sync
   

3. Start the MCP server:

   uv run server
   

Usage with Claude Desktop

1. Add to Claude Desktop configuration (~/.claude_desktop_config.json):

   {
     "mcpServers": {
       "ai-media-monitor": {
         "command": "uv",
         "args": ["run", "server"],
         "cwd": "/path/to/ai-media-monitor-mcp"
       }
     }
   }
   

2. Restart Claude Desktop and start using the AI Media Monitor tools.

Available MCP Tools

1. scan_media_sources

Scans all configured Dutch media sources for AI-related articles.

Parameters:

• hours_back (int, optional): How many hours back to scan (default: 24)

Example:

Scan media sources for AI articles from the last 48 hours

2. get_trending_topics

Analyzes trending AI topics in Dutch media with detailed metrics.

Parameters:

• period (str): Time period - "day", "week", or "month" (default: "week")
• min_mentions (int): Minimum mentions required (default: 3)
• categories (list[str], optional): Filter by specific categories

Example:

Get trending AI topics for the last week with at least 5 mentions

3. identify_experts

Identifies potential podcast guests based on media coverage and quotes.

Parameters:

• topic (str, optional): Focus on specific AI topic
• period (str): Time period to analyze (default: "month")
• min_quotes (int): Minimum quotes required (default: 2)

Example:

Find AI experts in healthcare who have been quoted at least 3 times this month

4. generate_topic_suggestions

Generates podcast topic suggestions based on current media trends.

Parameters:

• focus_areas (list[str], optional): Specific areas to focus on

Example:

Generate podcast topic suggestions focusing on AI ethics and privacy

5. fetch_article

Fetches full content of a specific article, attempting paywall bypass.

Parameters:

• url (str): URL of the article to fetch

Example:

Fetch the full content of this NRC article about AI in healthcare

6. get_weekly_report

Generates a comprehensive weekly report for podcast planning.

Returns: Complete analysis including trending topics, expert suggestions, and content recommendations.

Configuration

The server uses config.yaml for configuration. Key sections include:

Media Sources

Configure Dutch media sources by category:

media_sources:
  newspapers:
    - name: "NRC"
      url: "https://www.nrc.nl"
      rss: "https://www.nrc.nl/rss/"
  tech_media:
    - name: "Tweakers"
      url: "https://tweakers.net"
      rss: "https://feeds.feedburner.com/tweakers/mixed"

AI Keywords (Configurable)

Customize AI detection keywords:

ai_keywords:
  - "\\bAI\\b"
  - "\\bkunstmatige intelligentie\\b"
  - "\\bmachine learning\\b"
  - "\\bChatGPT\\b"

Topic Patterns (Configurable)

Define topic categorization patterns:

topic_patterns:
  "AI in de zorg":
    - "zorg"
    - "gezondheid"
    - "ziekenhuis"
  "AI en privacy":
    - "privacy"
    - "AVG"
    - "GDPR"

Paywall Bypass

Configure paywall bypass services:

paywall_bypass:
  services:
    - url: "https://archive.ph"
      method: "POST"
      priority: 1
  retry_attempts: 3
  timeout: 30

Media Sources

The server monitors these Dutch media categories:

Newspapers

• NRC, Volkskrant, FD, Telegraaf, AD, Trouw

Trade Publications

• Computable, AG Connect, MT/Sprout, Emerce

Tech Media

• Tweakers, Bright, Dutch IT Channel

News Sites

• NU.nl, RTL Nieuws, NOS

Development

Setup Development Environment

# Install with development dependencies
uv sync --dev

# Run tests
uv run test

# Lint and format code
uv run lint-fix
uv run format

# Check for linting errors
uv run lint

Project Structure

src/ai_media_monitor/
├── core/           # Core functionality
│   ├── analyzer.py     # Main analysis engine
│   └── config_loader.py # Configuration loading
├── models/         # Data models
│   ├── article.py      # Article data model
│   ├── expert.py       # Expert data model
│   └── topic.py        # Topic data models
└── utils/          # Utilities
    ├── text_analysis.py # Text processing
    └── web_utils.py     # Web scraping utilities

Code Quality

The project enforces high code quality standards:

• Ruff for linting and formatting
• Pytest for testing with asyncio support
• Type hints throughout the codebase
• Pre-commit hooks for automated checks

Adding New Media Sources

1. Add the source to config.yaml under the appropriate category
2. Ensure the RSS feed is accessible
3. Test with scan_media_sources tool
4. Update documentation if needed

Customizing AI Detection

1. Modify ai_keywords in config.yaml to add/remove detection patterns
2. Update topic_patterns to customize topic categorization
3. Test changes with sample articles
4. Validate with the text analysis functions

Use Cases

Podcast Planning

• Identify trending AI topics for episode themes
• Find expert guests through quote analysis
• Generate content suggestions based on media coverage
• Monitor media sentiment around AI topics

Media Research

• Track AI coverage across Dutch media landscape
• Analyze expert opinions and positions
• Monitor emerging AI trends and developments
• Research specific AI topics or companies

Content Strategy

• Understand public discourse around AI in Netherlands
• Identify content gaps and opportunities
• Track competitor mentions and coverage
• Monitor regulatory and policy developments

Troubleshooting

Common Issues

Server won't start:

• Check Python version (3.10+ required)
• Ensure all dependencies are installed: uv sync
• Verify config.yaml syntax

No articles found:

• Check internet connection
• Verify RSS feeds are accessible
• Adjust ai_keywords if detection is too restrictive

Paywall bypass not working:

• Services may be temporarily unavailable
• Try adjusting timeout settings
• Check if specific sites block archive services

Debug Mode

Run with debug logging:

uv run python server.py --debug

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes with tests
4. Run linting and tests: uv run lint && uv run test
5. Submit a pull request

License

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

Support

For issues and questions:

• Open an issue on GitHub
• Check existing documentation
• Review configuration examples

Built with ❤️ for the AIToday Live podcast and the Dutch AI community.