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KunihiroS

PatSnap MCP Server

by KunihiroS

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables conversational patent data analysis through a set of tools for trend analysis, clustering, word cloud generation, and more. Allows natural language queries to explore patent datasets with structured results and visualizations.
      1
      AGPL 3.0
    • A
      license
      B
      quality
      A
      maintenance
      Provides access to USPTO patent and patent application data through multiple APIs, enabling search, retrieval, and analysis of patents, PTAB proceedings, and litigation data via natural language.
      61
      195 PyPI
      79
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables comprehensive patent information queries and analytics including fuzzy company search, patent search by various criteria (name, application number, applicant), and statistical analysis of patent portfolios including status distribution, application trends, and patent type classification.
      28
      -

    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose focused on different patent analytics dimensions: citation analysis, litigation risk, trends, valuation, legal status, assignees, origins, inventors, keyword hierarchy, and keyword frequency. There is no functional overlap between tools, making selection unambiguous for an agent.

    Naming Consistency5/5

    All tools follow a consistent 'get_' prefix with descriptive snake_case names (e.g., get_most_cited_patents, get_top_assignees). This uniform pattern makes the tool set predictable and easy to navigate.

    Tool Count5/5

    With 10 tools, the server provides a well-scoped set for patent analytics, covering key aspects like trends, risks, players, and keyword analysis. Each tool serves a unique purpose without redundancy, making the count appropriate for the domain.

    Completeness4/5

    The tool set comprehensively covers analytical queries for patent data, including trends, risks, valuations, and key entities. A minor gap exists in direct patent retrieval or detailed patent-level operations (e.g., get_patent_by_id), but the provided tools support robust analysis workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues