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deeparchi-ai

Patent MCP Server

by deeparchi-ai
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Python
Hybrid

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools target distinct resources/actions (claims, legal status, family, search, details). However get_cited_by, batch_get_cited_by, bidirectional_citation_graph, and competitor_citation_matrix all center on citation data, which could cause some misselection, though descriptions clarify single vs batch vs graph vs competitor scope.

    Naming Consistency4/5

    A dominant verb_noun pattern (get_patent, search_patents, get_patent_claims, get_legal_status, get_patent_family, get_cited_by) with a consistent batch_ prefix is clear. A few noun-phrase outliers (bidirectional_citation_graph, competitor_citation_matrix, company_summary) lack verbs but remain readable.

    Tool Count5/5

    11 tools is well-scoped for a patent analysis server, with each tool earning its place across details, claims, legal status, family, citations, search, batch variants, and company screening.

    Completeness4/5

    Strong coverage of the patent lifecycle: details, claims, legal status, family, citations, search, and portfolio summary. Minor gaps exist (e.g. no direct assignee/inventor patent listing or full description/figures retrieval), but core workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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