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TruthLens: Misinformation Surveillance Platform MCP Server

@NemroNeno

代码仓库

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其他

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stdio

作者

NemroNeno

关于 TruthLens: Misinformation Surveillance Platform MCP Server

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#truthlens#misinformation#surveillance#fact-checking

TruthLens: Misinformation Surveillance Platform MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

TruthLens: Misinformation Surveillance Platform MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

Where does TruthLens: Misinformation Surveillance Platform store data?

The current implementation uses in-memory storage and is not suitable for production.

3

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.

4

What external APIs does TruthLens: Misinformation Surveillance Platform require?

The Google Gemini API is required; NewsAPI and Reddit API are optional.

5

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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