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Alternatives to free-seo-mcp

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables 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
    • A
      license
      A
      quality
      D
      maintenance
      Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.
      5
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Agent-first SEO toolkit with 24 MCP tools for keyword research, rank tracking, site audits up to 50k pages, competitor analysis, content gap detection, domain reputation, backlink intelligence, Google Search Console integration, and AI-powered strategy generation with Claude, GPT, and Ollama. SQLite-backed and bring-your-own-key.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides SEO automation with tools for keyword research, SERP analysis, and competitor analysis through Google Ads API integration, enabling AI assistants to access these capabilities via MCP.
      50
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Real-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.
      28
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform SEO tasks like keyword research, rank tracking, backlink analysis, site audits, and competitor insights using free data sources, with no subscription or per-call charges.
      1
      MIT

    TDQS

    A3.5/5.0

    Scored across 16 tools

    Disambiguation4/5

    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.

    Naming Consistency3/5

    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.

    Tool Count4/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues