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    MCP server for the AI Patent Search Generator — 11 tools for patent intelligence: dossier (claims, citations, family, classifications, examiner stats), prosecution (USPTO file wrappers), oa_analyze (AI Office Action analysis), search/query (Google Patents multi-strategy), similar, citations, family, examiner, cpc, balance. Install: npx -y patent-search-mcp-server
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    MIT
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    This MCP server provides Korean legal search tools for finding judgments, statutes, and sentencing statistics, and computing sentencing ranges.
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    MIT
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    Enables searching and browsing Korean legal documents from a local git clone of legalize-kr, with tools for reading files, listing laws, searching content, and viewing git history.
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    Enables MCP-capable clients to calculate Japan's statutory annual paid leave (nenkyu) under the Labor Standards Act, including entitlement, attendance rates, proportional grants, carryover, and the mandatory-use rule.
    7
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    MIT
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    MCP server for patent search and prior art discovery powered by Google Patents public dataset on BigQuery. Supports searching patents, fetching full patent details with CPC codes and citations, and retrieving legal claims text.
    3
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    MIT
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    Exposes the AKIJ Resources Document Management System to MCP clients, enabling search, listing, and retrieval of documents across risk databases, Google Drive, and legal sources via stdio JSON-RPC 2.0. Provides read-only access to 14,500+ indexed files and folders with tools for risk lookups and Bangladesh law references.
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    What is PandaDoc MCP? PandaDoc MCP (Model Context Protocol) server connects AI agents directly to PandaDoc's document workflow — creating, sending, and tracking contracts and agreements without leaving your AI client. How to use PandaDoc MCP? To use PandaDoc MCP, connect your PandaDoc account, provide the required API credentials, and configure the appropriate MCP client.
    2
    MIT
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    Enables AI governance teams to evaluate waiver requests, approve policy exceptions, check expiry, issue receipts, and export audit logs for AI use cases and model risk.
    MIT