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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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    Enables users to search and retrieve South Korean statutes, precedents, and administrative rules via the National Law Information Center API. It supports deep legal chain analysis, legislative history tracking, and legal terminology lookups through natural language.
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    MIT
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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.
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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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    An MCP connector that lets AI agents search and read U.S. case law and statutes from Freecase, providing tools for full-text search and retrieval of legal documents.
    5
    MIT
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    Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.
    5