Google News MCP Server

The Google News MCP Server is a purpose‑built Model Context Protocol service that turns the vast, constantly updated archive of Google News into a structured, queryable API for AI assistants. By leveraging SerpAPI’s search engine backend, the server translates natural language prompts into precise news‑search requests and returns results that are automatically classified by topic, region, and language. This enables developers to embed real‑time news feeds into conversational agents without managing the complexities of web scraping, pagination, or language detection.

At its core, the server provides a single “search” tool that accepts parameters such as , , , and optional filters for language () or country (). The underlying logic queries SerpAPI, interprets the returned JSON, and enriches it with a smart categorization layer that tags each headline or story under broad categories like AI & Technology, Business, Science & Research, and Healthcare. If a requested language is unsupported, the server falls back to English and notifies the user, ensuring consistent behavior across diverse use cases.

For developers building AI‑powered news aggregators or briefing tools, this server eliminates the need to handle API keys, rate limits, and error parsing. The MCP interface exposes a single, well‑defined resource that can be invoked from any Claude or GPT‑style assistant. The server’s robust error handling guarantees graceful degradation when the underlying SerpAPI service fails, while its configurable request limits (2 req/s, 5 concurrent) keep traffic within free‑tier allowances for prototyping. Moreover, the ability to filter by publication or topic allows agents to deliver highly relevant content—whether summarizing a breaking story for a newsroom assistant or compiling weekly trend reports for business analysts.

Real‑world scenarios include:

• News briefing bots that pull the latest headlines for specific sectors and present them in a concise format.
• Research assistants that fetch up‑to‑date scientific articles and group them by discipline.
• Market intelligence tools that monitor competitor coverage across multiple regions.
• Personalized content feeds for users who want updates in their native language or from preferred outlets.

By integrating this MCP server into an AI workflow, developers can focus on crafting the conversational logic and user experience while delegating the heavy lifting of news retrieval, categorization, and language handling to a proven, scalable service.