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TruthLens: Misinformation Surveillance Platform

@NemroNeno

Repository

About TruthLens: Misinformation Surveillance Platform

No overview available yet

#truthlens#misinformation#surveillance#fact-checking

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

NemroNeno

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_server_TruthAnalyzer": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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

Comments

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