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    AgentBureau provides the legal and physical infrastructure for AI agents to operate within the German jurisdiction. We bridge the gap between digital intelligence and real-world action by providing "Embodiment-as-a-Service." Through our API, agents can perform legally binding actions—like sending faxes, mailing physical letters, issuing invoices, forming entire companies (GmbH/UG), ...
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    Enables searching UK case law on BAILII and retrieving judgments with automatic section extraction (summary, conclusions, etc.). Runs locally to avoid BAILII's cloud IP blocks.
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    Apache 2.0
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    Scans source code for possible Korean compliance risks (PIPA, Network Act, Credit Information Act, E-Commerce Act) and maps findings to specific legal provisions. Runs locally, exposes MCP tools for scanning and law lookup, and does not constitute legal advice. That's hedged (matches the project's "possible risk / not legal advice" rule), keyword-rich for search, and names all four laws.
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    MIT
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    MCP server for searching Swiss court decisions from federal and cantonal courts via entscheidsuche.ch. Enables full-text search, law reference lookup, and filtering by canton, court level, and date without API keys.
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    MIT
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    MCP server for checking Russian FSSP (Federal Bailiff Service) debts, enabling AI agents to look up enforcement proceedings for individuals and legal entities through MCP clients like Cursor and Claude Desktop.
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    4
    MIT
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    MCP server for verifying Russian counterparties (legal entities and individual entrepreneurs) via public Federal Tax Service data: EGRUL/EGRIP, bankruptcy registry (EFRSB), Transparent Business, bailiff service (FSSP), and arbitration courts (KAD).
    Last updated
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    12
    MIT
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    Enables the generation of professional, jurisdiction-specific legal documents like privacy policies, terms of service, and cookie policies. It allows users to produce structured HTML legal content by providing specific parties, terms, and service configurations to an AI-driven tool.
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    A modular MCP server providing structured, methodology-driven prompt endpoints for rapid legal/compliance landscape mapping, gap discovery, and risk prioritization across privacy, IP, AI governance, security, consumer, and disclosure domains, with argument-based adaptability to any product context.
    Last updated
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    6
    MIT