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    MCP server that provides access to Argentine legal documents (legislation, CSJN jurisprudence, international treaties) with verifiable provenance including SHA256 hashes and source URLs, enabling legal professionals to search and verify citations.
    13
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    attendance-engine-mcp is a Model Context Protocol server that gives AI agents deterministic, fixture-backed tools for workforce attendance and wage-and-hour compliance. Built on @attendance-engine/core — a pure-function, zero-deps, 100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP host correctly answer the questions HR/payroll teams actually ask: did this person clock i
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    MIT
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    Pro Se Engine is an MCP server that provides 39 legal research tools across 6 government APIs, enabling AI agents to access case law, SEC filings, federal legislation, regulations, government contracts, and document processing workflows.
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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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    Torify gives AI agents the Japanese locale primitives that standard libraries lack — imperial era date conversion (wareki), qualified invoice number validation with NTA registry lookup, corporate number lookup (法人番号), postal code resolution, name romanization (Hepburn), and kanji-to-kana conversion via Yahoo! JLP. 31 endpoints total. No authentication required for MCP. Pay-per-call $0.02/call via
    MIT
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    This MCP server provides Korean legal search tools for finding judgments, statutes, and sentencing statistics, and computing sentencing ranges.
    1
    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.
    6
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    Enables AI agents to look up and validate hazardous materials shipping descriptions using public 49 CFR citations, providing structured JSON with proper shipping names, hazard classes, labels, and regulatory references.
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    MIT