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patentref-mcp

patentref-mcp

by patentref
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Python
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    • MCP Server

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    Deploy Server
    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

    A3.5/5.0

    Scored across 15 tools

    Disambiguation4/5

    The rule-lookup tools (rep_required, fee_schedule, route_windows, pph_routes, ai_use_statement_required, grace_period) each target a clearly different topic, and search_patents vs similar_patents vs search_disclosures are well separated. The main overlaps are get_claim_tree vs get_patent_brief (both return one US patent's claims with offsets/anchors) and the three metadata tools (rules_index, rules_changelog, build_facts), which all expose version/as_of information and could be mispicked.

    Naming Consistency4/5

    All names are snake_case and readable, with a clear internal split between verb-prefixed action tools (get_claim_tree, get_patent_brief, check_patent_status, search_patents, search_disclosures, build_facts) and bare-noun rule queries (fee_schedule, grace_period, rep_required). Mixing verb-first and noun-only conventions is a minor deviation but predictable within each group.

    Tool Count5/5

    15 tools is well within the comfortable range and each maps to a distinct data surface (patent structure, status, search, similarity, office rules, disclosures, dataset metadata). No obvious filler or trivially redundant tool.

    Completeness4/5

    Core lifecycle looks covered: search, status verdict with reinstatement basis, claim tree and brief, similarity, plus a rich office-rules surface with sourcing and a changelog. Gaps remain around non-US patent structure (claim tools are US-only), citations/family/applicant lookups, and full description text, but agents can work around these for the stated scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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