Google News FAQs

Question 1

What are the core benefits of using Google News MCP?

Accepted Answer

Key benefits include automatic decoding of Google News redirect URLs to original article links, asynchronous and concurrent processing for maximum performance, intelligent LRU caching for speed, clean plain-text summaries, and multi-language support, all making real-time news accessible to AI.

Question 2

Can I filter news content using Google News MCP?

Accepted Answer

Absolutely. The tool offers powerful filtering capabilities, including fetching news by specific categories (e.g., Technology, Business), geographic locations, trending topic IDs, and advanced search queries with operators like `site:`, `when:`, `intitle:`, and boolean logic.

Question 3

What is Google News MCP and who is it for?

Accepted Answer

Google News MCP (Model Context Protocol) is a server that provides AI assistants (like Claude, GPT-4) with real-time Google News RSS feeds. It's designed for developers and AI engineers who need to integrate up-to-date news data into their AI applications.

Question 4

How does Google News MCP handle article URL decoding?

Accepted Answer

It provides a dedicated `decode_google_news_url` tool that takes a list of Google News redirect URLs and decodes them to their actual article destinations concurrently. This process is optimized with smart LRU caching for fast repeated lookups.

Question 5

Is Google News MCP suitable for high-performance applications?

Accepted Answer

Yes, it is built with performance in mind. All operations are asynchronous and concurrent, leveraging `asyncio.gather()` for parallel processing of multiple URLs and entries. It also incorporates LRU and in-memory caching to ensure rapid data retrieval.

Google News

Google News

Key Features

Use Cases

Key Features

Use Cases