TruthLens: Misinformation Surveillance Platform
@NemroNeno
About TruthLens: Misinformation Surveillance Platform
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server_TruthAnalyzer": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tools
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Overview
What is TruthLens: Misinformation Surveillance Platform?
TruthLens is a Model Context Protocol (MCP) server that provides AI assistants with tools to detect, analyze, and verify potential misinformation. Built with Python and the MCP framework, it enables automated fact-checking and misinformation monitoring capabilities.
How to use TruthLens: Misinformation Surveillance Platform?
Install dependencies and set API keys in a .env file, then run python run_server.py. Invoke MCP endpoints such as ingest_url, extract_claims, verify_claim, search_news, analyze_source, get_trending_info, and setup_monitor.
Key features of TruthLens: Misinformation Surveillance Platform?
- Ingests web content from URLs and news sources
- Extracts factual claims using pattern matching or Gemini AI
- Verifies claims against multiple external knowledge sources
- Monitors news and analyzes misinformation trends
- Provides confidence scores and evidence for each claim
Use cases of TruthLens: Misinformation Surveillance Platform?
- Automated fact-checking for news articles and social media posts
- Monitoring and analyzing trending misinformation by topic
- Verifying the veracity of claims for journalists and researchers
- Analyzing source credibility before content dissemination
FAQ from TruthLens: Misinformation Surveillance Platform?
What are the runtime dependencies for TruthLens: Misinformation Surveillance Platform?
Python 3.10 or higher and at minimum a Google Gemini API key for AI-powered analysis.
Where does TruthLens: Misinformation Surveillance Platform store data?
The current implementation uses in-memory storage and is not suitable for production.
What are the limitations of TruthLens: Misinformation Surveillance Platform?
Pattern matching fallback has limited accuracy compared to AI-powered analysis, and web scraping may be subject to rate limits and terms of service restrictions.
What external APIs does TruthLens: Misinformation Surveillance Platform require?
The Google Gemini API is required; NewsAPI and Reddit API are optional.
How does TruthLens: Misinformation Surveillance Platform handle missing API keys?
If API keys are missing, the system falls back to pattern
Frequently asked questions
What are the runtime dependencies for TruthLens: Misinformation Surveillance Platform?
Python 3.10 or higher and at minimum a Google Gemini API key for AI-powered analysis.
Where does TruthLens: Misinformation Surveillance Platform store data?
The current implementation uses in-memory storage and is not suitable for production.
What are the limitations of TruthLens: Misinformation Surveillance Platform?
Pattern matching fallback has limited accuracy compared to AI-powered analysis, and web scraping may be subject to rate limits and terms of service restrictions.
What external APIs does TruthLens: Misinformation Surveillance Platform require?
The Google Gemini API is required; NewsAPI and Reddit API are optional.
How does TruthLens: Misinformation Surveillance Platform handle missing API keys?
If API keys are missing, the system falls back to pattern
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