news-volume-mcp
Related Servers
Alternatives to news-volume-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables MCP clients such as Claude, Codex, Cursor, and OpenCode to search and retrieve news articles and clustered real-world events from roughly 150,000 sources worldwide, with tools for keyword/concept/location/date filtering, full-text lookup by URI or URL, entity name-to-URI resolution, token usage checks, and raw access to any newsapi.ai API endpoint. Results are returned as compact JSON to conserve context, and both local stdio and remote HTTP deployment are supported.7MIT
- AlicenseAqualityCmaintenanceProvides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.31MIT
- AlicenseNot gradedqualityCmaintenanceReal-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.28MIT
- AlicenseAqualityBmaintenanceEnables Claude, Cursor, and other MCP clients to retrieve and analyze Google Trends data, including trending searches, interest over time and by region, related queries, seasonality, momentum, and share of search, without requiring an API key.3248 PyPI4MIT
- AlicenseAqualityBmaintenanceMCP server that integrates Google News and Google Trends, enabling AI models to fetch news, analyze search interest, calculate growth rates, and summarize articles.16157 PyPI7MIT
- AlicenseNot gradedqualityCmaintenanceProvides news sentiment scores, media volume trends, and historical coverage data for any topic, enabling AI to analyze positive or negative coverage over time.18 PyPI1MIT
TDQS
Scored across 3 tools
Each tool has a distinct purpose: get_growth for point-to-point changes, get_time_series for full historical series, and get_top_trends for live boards. The descriptions actively cross-reference each other to prevent confusion.
All three tools follow the same get_ prefix followed by a clear noun: get_growth, get_time_series, get_top_trends. The naming pattern is uniform and predictable.
Three tools is a well-scoped size for this server's purpose. Each tool covers a distinct core query type with no redundancy.
The tool set covers growth, historical data, and live trends well. Minor gaps exist around multi-keyword time-series comparison and source/feed discovery, but agents can work around them.