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server-google-news

Search and categorize news articles from Google News using SerpAPI integration. Provides access to real-time news data through a structured API interface.

Author

server-google-news logo

ChanMeng666

MIT License

Quick Info

GitHub GitHub Stars 83
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

newsapiserpapigoogle newsnews datanews search

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Google News MCP Server

server_google_news_svg_style_social TypeScript_007ACC_style_flat_logo_typescript_logoColor_white Node_js_43853D_style_flat_logo_node_js_logoColor_white MCP_Server_blue_style_flat License_MIT_brightgreen_style_flat


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A Model Context Protocol (MCP) server implementation that provides Google News search capabilities via SerpAPI integration. Automatically categorizes news results and supports multiple languages and regions.

Google News Server MCP server


👉Try It Now!👈


https://github.com/user-attachments/assets/1cc71c27-f840-4c94-9ab5-460d84ba4779

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✨ Features

🔍 Flexible Search Options

Comprehensive search capabilities including query-based search, topic search, publication filtering and story coverage.

🌐 Global Coverage

Supports multiple languages and regions through configurable language and country codes.

📊 Smart Categorization

Automatically categorizes news results into topics like AI & Technology, Business, Science & Research, and Healthcare.

🔀 Multiple Result Types

Handles various news result types including headlines, stories, related topics and menu links.

🛠️ Robust Error Handling

Comprehensive error handling for API failures and invalid inputs, with helpful error messages.

🌍 Language Support

Automatic fallback to English for unsupported language codes with appropriate user notifications.

🔑 SerpApi Setup Guide

Before getting started, you'll need to obtain a SerpApi key. Here's how:

  1. Visit SerpApi website and create an account

  2. After registration, go to your Dashboard:

  3. Locate the "API Key" section
  4. Copy your API key
  5. New users get 250 free API calls

  6. API Usage Details:

  7. Free tier: 250 searches per month
  8. Paid plans start at $75/month for 5000 searches
  9. Billing based on successful API calls
  10. Multiple payment methods: Credit Card, PayPal, etc.

  11. Usage Limits:

  12. Request Rate: 2 requests/second
  13. IP Restrictions: None
  14. Concurrent Requests: 5
  15. Response Cache Time: 1 hour

👩‍🔧 Solution for MCP Servers Connection Issues with NVM/NPM

Click to view my configuration solution 👉 https://github.com/modelcontextprotocol/servers/issues/76

🚀 Quick Start

  1. Install dependencies:
npm install
  1. Build the server:
npm run build
  1. Configure environment: Modify your claude_desktop_config.json with the following content (adjust paths according to your system):
    "google-news": {
      "command": "D:\\Program\\nvm\\node.exe",
      "args": [
        "D:\\github_repository\\path_to\\dist\\index.js"
      ],
      "env": {
        "SERP_API_KEY": "your-api-key"
      }
    }
  1. Start the server:
npm start

Troubleshooting

  1. Invalid API Key
  2. Verify API key configuration in claude_desktop_config.json
  3. Confirm API key is active in SERP API dashboard

  4. Request Failures

  5. Check network connectivity
  6. Verify API call quota hasn't been exceeded
  7. Validate request parameter format

Running evals

The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.

OPENAI_API_KEY=your-key  npx mcp-eval src/evals/evals.ts src/index.ts

📦 Installation

Installing via Smithery

To install Google News for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @chanmeng666/google-news-server --client claude

Trust Score smithery badge

Installing via mcp-get

npx @michaellatman/mcp-get@latest install @chanmeng666/google-news-server

If you are using an old version of Windows PowerShell, you may need to run Set-ExecutionPolicy Bypass -Scope Process before this command.

Manual Installation

CB3837 @chanmeng666/google-news-server

# Using npm
npm i @chanmeng666/google-news-server
# or
npm install @chanmeng666/google-news-server

# Using yarn
yarn add @chanmeng666/google-news-server

# Using pnpm
pnpm add @chanmeng666/google-news-server

💻 Tech Stack

TypeScript NodeJS MCP

📖 API Documentation

The server implements the Model Context Protocol and exposes a Google News search tool with the following parameters:

  • q: Search query string
  • gl: Country code (e.g., 'us', 'uk')
  • hl: Language code (e.g., 'en', 'es')
  • topic_token: Token for specific news topics
  • publication_token: Token for specific publishers
  • story_token: Token for full coverage of a story
  • section_token: Token for specific sections

🔧 Development

# Run in development mode with hot reload
npm run dev

# Run linting
npm run lint

# Run tests
npm run test

📝 License

This project is MIT licensed.

🙋‍♀ Author

Created and maintained by Chan Meng. GitHub LinkedIn


🤖 AI Agent Instructions & GEO Optimization ## For AI Agents and LLM Crawlers This MCP server is optimized for AI agent usage with comprehensive instructions and structured data. ### Quick AI Usage Guide
{
  "tool": "google_news_search",
  "parameters": {
    "q": "artificial intelligence latest developments",
    "gl": "us",
    "hl": "en"
  }
}
### AI-Friendly Features - **Automatic Categorization**: News results are automatically sorted into relevant categories - **Structured Output**: Returns formatted data optimized for AI processing - **Multi-language Support**: Supports various languages with automatic fallbacks - **Error Handling**: Comprehensive error messages and graceful degradation ### Response Format The server returns categorized news with the following structure: - **Categories**: AI & Technology, Business, Science & Research, Healthcare, General - **Article Fields**: title, source, link, date, snippet, authors - **Metadata**: timestamp, menu_links for related topics ### Best Practices for AI Agents 1. Use specific, descriptive keywords for better results 2. Leverage automatic categorization for topic-based workflows 3. Implement proper error handling and retry logic 4. Respect API rate limits (2 requests/second) 5. Parse structured responses for better context understanding ### Advanced Usage Patterns - **News Monitoring**: Use company names or stock symbols for business news - **Research Exploration**: Leverage topic tokens for field-specific searches - **Breaking News**: Use "breaking news" or "latest news" queries - **Multi-language**: Combine appropriate gl and hl parameters ### Error Handling - Invalid API key: Check SERP_API_KEY environment variable - Unsupported language: Server auto-falls back to English - Rate limiting: Respect 2 requests/second limit - Invalid parameters: Validate parameter types before calling
📊 GEO Metrics & Monitoring ## Generative Engine Optimization (GEO) Features This server includes comprehensive monitoring and optimization for AI agent usage. ### Key Metrics Tracked - **Citation Success Rate**: Percentage of successful tool calls - **AI Traffic Conversion Rate**: Percentage of AI agents successfully using the tool - **Query Coverage Rate**: Percentage of queries returning relevant results - **Response Time**: Average response time for tool calls - **Categorization Accuracy**: Accuracy of automatic news categorization - **Link Carry Rate**: Percentage of responses including source links ### Monitoring Configuration
interface GEOMonitoringConfig {
  trackingEnabled: boolean;
  metricsEndpoint: string;
  reportingInterval: number; // minutes
  alertThresholds: {
    errorRate: number;
    responseTime: number;
    successRate: number;
    satisfactionScore: number;
  };
}
### Performance Optimization - Real-time metrics collection - Automated alerting for performance issues - Query pattern analysis for optimization - Agent usage tracking and analytics ### Data-Driven Improvements - Continuous monitoring of AI agent satisfaction - Query success rate analysis - Response time optimization - Categorization accuracy improvements For technical implementation details, see [src/geo-metrics.ts](./src/geo-metrics.ts).
🔍 Structured Data & Metadata ## AI-Optimized Metadata This server provides comprehensive structured data for AI agents and search engines. ### JSON-LD Structured Data The server includes structured data following Schema.org standards: - Software application metadata - Feature descriptions and capabilities - Technical requirements and dependencies - Usage patterns and integration guidelines ### MCP Protocol Compliance - **Protocol Version**: 1.0.0 - **Tool Name**: `google_news_search` - **Response Format**: Structured text with categorized results - **Rate Limits**: 2 requests/second, 5 concurrent requests ### AI Discovery Features - **llms.txt**: Comprehensive AI usage guide at root level - **Structured Metadata**: Enhanced manifest.json with AI-specific information - **Error Handling**: AI-friendly error messages and fallbacks - **Documentation**: Detailed usage examples and best practices ### Integration Guidelines - Designed for seamless integration with other MCP servers - Optimized for AI agent workflows - Supports various AI platforms and frameworks - Provides clear error handling and debugging information For complete structured data, see [structured-data.json](./structured-data.json).

See Also

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