News Fact-Checker

A modern Model Context Protocol (MCP) server for fact-checking news headlines using AI analysis and web search.

- 🔍Fact-Check Headlines: Verify news claims using Google Gemini AI and web search
- 📈Trending Topics: Get current trending news from RSS feeds
- 🤖AI-Powered Analysis: Uses Google Gemini 2.0 Flash for intelligent fact-checking
- 🌐Multi-Source Verification: Searches multiple sources for comprehensive analysis
- ⚡Modern MCP: Built with latest MCP conventions using@mcp.tooldecorators

- Python 3.11 or higher
- Google Gemini API key

git clone <repository-url> cd FactChecker

export GEMINI_API_KEY="your_gemini_api_key_here"

# Example MCP tool call { "tool": "fact_check_headline", "arguments": { "headline": "NASA announces discovery of water on Mars" } }

# Example MCP tool call { "tool": "get_trending_topics", "arguments": { "location": "international" # or "local", "india" } }

Verifies news headlines using AI analysis and web search.

- headline(string): The news headline to fact-check

- Verdict (TRUE/FALSE/PARTIALLY_TRUE/UNVERIFIED/MISLEADING)
- Confidence score
- Truthfulness percentage
- Supporting and contradicting evidence
- Recommendations

- location(string, optional): "international", "local", or "india" (default: "international")

- List of trending topics with titles, sources, and URLs

- GEMINI_API_KEY: Required Google Gemini API key
- NEWS_API_KEY: Optional NewsAPI key for enhanced search
- SEARCH_API_KEY: Optional additional search API key
- Google Gemini: Get your API key fromGoogle AI Studio
- NewsAPI(optional): Get fromNewsAPI
- Search API(optional): Additional search service API key

FactChecker/ ├── src/ │ └── factchck/ │ └── news_factcheck.py # Main MCP server ├── requirements.txt # Python dependencies ├── pyproject.toml # Project configuration └── README.md # This file

# Install in development mode pip install -e . # Run tests (if available) python -m pytest

{ "mcpServers": { "news-factcheck": { "command": "python", "args": ["-m", "factchck.news_factcheck"], "env": { "GEMINI_API_KEY": "your_api_key_here" } } } }

The server includes comprehensive error handling for:

- Missing API keys
- Network connectivity issues
- Invalid input validation
- Service unavailability

- Requires internet connection for web search
- Depends on Google Gemini API availability
- RSS feed parsing is simplified (consider using proper XML parser for production)
- Rate limits may apply to API services
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request

MIT License - see LICENSE file for details.

- v3.0.0: Modernized with latest MCP conventions, simplified codebase
- v2.1.0: Previous version with complex multi-source search
- v0.1.0: Initial release
- Check the error logs
- Verify API key configuration
- Ensure network connectivity
- Open an issue on GitHub

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