google-news-trends-mcp
Provides an MCP server plus CLI to fetch and return structured data derived from Google News RSS feeds (by keyword/location/topic/top news) and Google Trends (trending keywords by geo). Optionally summarizes/condenses articles using LLM/NLP pipelines.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No authentication described; runs as an MCP server that fetches public web/RSS content. TLS is likely for outbound HTTP but not explicitly documented here. Uses multiple third-party scraping/parsing dependencies (e.g., playwright, cloudscraper, newspaper4k) which increases surface area; secret handling practices are not described in the provided content.
⚡ Reliability
Best When
You need a local/agent-facing MCP tool to retrieve public news/trends RSS content and optionally summarize it for an AI agent.
Avoid When
You require stable, documented semantics and strong guarantees about upstream Google RSS/Trends behavior or need robust, first-party authentication/security controls.
Use Cases
- • Building agent workflows that monitor news topics or keywords
- • Generating structured briefings from Google News RSS
- • Pulling trending search terms for a specific geographic area
- • RAG pre-processing: retrieving and summarizing recent articles for downstream QA/summarization
Not For
- • Use as a production-grade news feed API without considering upstream changes and rate limits
- • Handling of regulated/compliance-sensitive data without additional review
- • Systems requiring strong authentication, auditability, and enterprise controls out of the box
Interface
Authentication
No authentication mechanism is described in the provided README/manifest; the MCP server appears intended to be run locally and pull public RSS/Trends data.
Pricing
Open-source package (MIT) with potential indirect costs only if LLM/NLP summarization is configured and uses external model APIs.
Agent Metadata
Known Gotchas
- ⚠ Upstream Google RSS/Trends responses can change, causing tool failures or parsing differences
- ⚠ No clear documentation provided here for rate limits, timeouts, or retry/idempotency behavior
- ⚠ Optional LLM/NLP summarization may introduce variability and extra latency/cost depending on configuration
Alternatives
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Scores are editorial opinions as of 2026-03-30.