Google News & Trends▌
by jmanek
Stay updated with Google News & Trends: search news articles, follow trending topics, and monitor news effortlessly with
Integrates with Google News RSS feeds and Google Trends to provide news article search, trending topic retrieval, and optional content summarization for news monitoring and trend analysis workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / News monitoring and content curation
- / Market research and trend analysis
- / Journalism and media research
- / Social media content planning
capabilities
- / Search news articles by keyword
- / Find news by geographic location
- / Browse news by topic categories
- / Get top trending news stories
- / Retrieve trending search terms by location
what it does
Searches Google News articles by keyword, location, or topic and retrieves trending search terms from Google Trends. Provides structured access to current news and trending topics for analysis.
how to install
You can install Google News & Trends in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Google News & Trends is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Google News Trends MCP
An MCP server that slurps data from Google News and Google Trends RSS endpoints, optionally distills it with LLM/NLP, and barfs out structured results.
Features
- Trawl Google News RSS feeds for articles based on keyword, location, topic
- Ingest top news stories from Google News
- Snag trending search terms from Google Trends based on geographic input
- Plug in LLM/NLP pipelines to condense article payloads and extract key concepts
Installation
Using uv/uvx (recommended)
When using uv no specific installation is needed. We will
use uvx to directly run google-news-trends-mcp.
Using PIP
pip install google-news-trends-mcp
After installation, you can run it as a script using:
python -m google_news_trends_mcp
Configuration
Configure for Claude.app
Add to your Claude settings:
<details> <summary>Using uvx</summary>{
"mcpServers": {
"google-news-trends": {
"command": "uvx",
"args": ["google-news-trends-mcp@latest"]
}
}
}
</details>
<details>
<summary>Using pip installation</summary>
{
"mcpServers": {
"google-news-trends": {
"command": "python",
"args": ["-m", "google_news_trends_mcp"]
}
}
}
</details>
Configure for VS Code
<details> <summary>Using uvx</summary>{
"mcp": {
"servers": {
"google-news-trends": {
"command": "uvx",
"args": ["google-news-trends-mcp@latest"]
}
}
}
}
</details>
<details>
<summary>Using pip installation</summary>
{
"mcp": {
"servers": {
"google-news-trends": {
"command": "python",
"args": ["-m", "google_news_trends_mcp"]
}
}
}
}
</details>
Tools
The following MCP tools are available:
| Tool Name | Description |
|---|---|
| get_news_by_keyword | Search for news using specific keywords. |
| get_news_by_location | Retrieve news relevant to a particular location. |
| get_news_by_topic | Get news based on a chosen topic. |
| get_top_news | Fetch the top news stories from Google News. |
| get_trending_keywords | Return trending keywords from Google Trends for a specified location. |
All of the news related tools have an option to summarize the text of the article using LLM Sampling (if supported) or NLP
CLI
All tools can be accessed from the command line using uv
uv run google-news-trends
Usage: google-news-trends [OPTIONS] COMMAND [ARGS]...
Find and download news articles using Google News.
Options:
--help Show this message and exit.
Commands:
keyword Find articles by keyword using Google News.
location Find articles by location using Google News.
top Get top news stories from Google News.
topic Find articles by topic using Google News.
trending Returns google trends for a specific geo location.
Debugging
npx @modelcontextprotocol/inspector uvx google-news-trends-mcp
To run from within locally installed project
cd path/to/google/news/tends/mcp
npx @modelcontextprotocol/inspector uv run google-news-trends-mcp
Testing
cd path/to/google/news/tends/mcp
python -m pytest
FAQ
- What is the Google News & Trends MCP server?
- Google News & Trends is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Google News & Trends?
- This profile displays 52 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★52 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
Strong directory entry: Google News & Trends surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Harper Yang· Dec 28, 2024
Useful MCP listing: Google News & Trends is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Daniel Bansal· Dec 24, 2024
We evaluated Google News & Trends against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Diego Jackson· Dec 16, 2024
According to our notes, Google News & Trends benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Hassan Flores· Dec 12, 2024
We wired Google News & Trends into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sakshi Patil· Nov 19, 2024
Google News & Trends is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Arya Harris· Nov 19, 2024
Google News & Trends is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Arya Garcia· Nov 15, 2024
I recommend Google News & Trends for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ira Mehta· Nov 7, 2024
Google News & Trends has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Luis Martinez· Nov 3, 2024
Google News & Trends reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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