広告掲載
MCP.so
ログイン

TruthLens: Misinformation Surveillance Platform MCP Server

@NemroNeno

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

NemroNeno

TruthLens: Misinformation Surveillance Platform MCP Server について

概要はまだありません

#truthlens#misinformation#surveillance#fact-checking

TruthLens: Misinformation Surveillance Platform MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

TruthLens: Misinformation Surveillance Platform MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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

コメント

「その他」の他のコンテンツ

Figs, Relationship Expert

Figs O'Sullivan, LMFT

Couples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

The Living Bread

The Living Bread

A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w

広告掲載