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kevinmaqueda

MCP DataForSEO Server

by kevinmaqueda

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    • A
      license
      C
      quality
      Not graded
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      Enables AI assistants to interact with DataForSEO APIs and obtain SEO data including SERP results, keyword research, on-page metrics, backlink analysis, and domain analytics through a standardized interface.
      76
      7,842 npm
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    • A
      license
      D
      quality
      D
      maintenance
      Enables LLMs to interact with DataForSEO and other SEO APIs through natural language, allowing for keyword research, SERP analysis, backlink analysis, and local SEO tasks.
      100
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    • F
      license
      Not graded
      quality
      D
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      Enables professional SEO/SEM research with geolocalized keyword discovery, competitor analysis, and SERP ranking insights using DataForSEO API.
      -
    • -
      license
      C
      quality
      Not graded
      maintenance
      Enables AI assistants to access comprehensive SEO data through DataForSEO APIs, including SERP results, keyword research, backlink analysis, on-page metrics, and domain analytics. Supports real-time search engine data from Google, Bing, and Yahoo with customizable filtering and multiple deployment options.
      36
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    • A
      license
      D
      quality
      C
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      Enables LLMs to perform SEO tasks such as keyword research, SERP analysis, backlink analysis, site audits, and more by exposing DataForSEO and other SEO APIs as MCP tools.
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    • A
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    TDQS

    B3.4/5.0

    Scored across 24 tools

    Disambiguation2/5

    Several tools have overlapping purposes, especially in keyword research: get_keyword_suggestions, get_keyword_ideas, get_related_keywords, and research_keywords all return related keywords and can be easily confused. Additionally, get_serp_competitors and find_competitors both identify competitors but via different signals, adding to ambiguity.

    Naming Consistency3/5

    Most tools follow a get_ prefix pattern, but there are notable deviations such as analyze_content_sentiment, check_serp_position, find_competitors, research_keywords, and estimate_traffic. The mix of verbs is not chaotic since all names are snake_case and readable, but the pattern is inconsistent.

    Tool Count3/5

    With 24 tools, the count falls in the 16-25 range that feels heavy. While each tool covers a specific SEO data point, the significant overlap in keyword research tools adds unnecessary bulk and reduces the overall scoping quality.

    Completeness4/5

    The server covers a comprehensive set of SEO capabilities including keyword research, rankings, backlinks, competitors, page audits, and traffic estimation. There are minor gaps such as the lack of a full SERP results retrieval tool, but agents can work around these with the existing tools.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues