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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 AI models to search and retrieve legal documents, magazine issues, comments, and related references from the Linde database (linda.lindeverlag.at) using the Model Context Protocol.
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    A Model Context Protocol server that lets Claude (and any MCP client) cite actual Canadian financial-services regulations: OSFI, PIPEDA, FINTRAC, Quebec Law 25.
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    MIT
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    A standalone API built on Model Context Protocol that enables AI agents to directly and securely communicate with the ZomPP legal engine for managing reports and diagnosing orchestration.
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    Provides Korean corporate tax-based fixed asset depreciation calculations and tax adjustment references through MCP. Enables users to retrieve useful life periods, calculate depreciation schedules, and compute tax adjustments for single or multiple assets.
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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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    Provides programmatic access to UK legal documents with hybrid semantic search and Model Context Protocol integration for AI assistants.
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    MIT
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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.
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    Enables interaction with the Blawx API to discover project ontologies, ask questions using fact scenarios, and retrieve detailed, step-by-step explanations of logic-based answers. It allows agents to browse project content and drill down into model attributes and constraint satisfaction for rule-based reasoning.
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    MIT