free-seo-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables keyword research across 70 languages without API keys, providing Google Suggest autocomplete, People Also Ask, related searches, Jaccard clustering, and language-specific intent tags via MCP tools.MIT
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- 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
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TDQS
Scored across 16 tools
Most tools target a distinct data source and action—autocomplete expansion, Google Trends, Bing data, Reddit, sitemaps, page outlines, and storage—so boundaries are generally clear. The expansion and Trends clusters are somewhat related, but their descriptions specify different algorithms and outputs, reducing real misselection risk.
There are readable internal families: expand_*, trends_*, bing_*, keywords_*, but the overall set mixes action-first names like suggest and estimate_volumes with resource-first names like sitemap_urls and page_outline. This is not chaotic, but there is no single consistent naming pattern.
16 tools is at the upper edge of the well-scoped range for a keyword-research server, and each tool covers a distinct facet of the workflow. It is slightly heavier than ideal but not bloated.
The surface covers keyword discovery via autocomplete, Trends, Bing, and Reddit, plus volume estimation, page analysis, sitemap mapping, and local storage/loading. Minor gaps such as saved-keyword deletion or a direct SERP/rank-checking tool exist but are workable.